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1

Rasul, Aram Mohammed. "Data collection in wireless sensor networks." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/37606.

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This thesis is principally concerned with effcient energy consumption in wireless sensor networks from two distinct aspects from a theoretical point of view. The thesis addresses the issue of reducing idle listening states in a restricted tree topology to minimise energy consumption by proposing an optimisation technique: the extra-bit technique. This thesis also focuses on showing lower bounds on the optimal schedule length, which are derived for some special cases of the tree, such as a single chain, balanced chains, imbalanced chains, three and four level k-ary trees and Rhizome trees. Then, we propose an algorithm which can exactly match the lower bound for a single chain, balanced chains and Rhizome trees individually and which is a few steps away from the optimal solution for imbalanced chains. Finally, we propose the use of two frequencies to further save energy and minimize latency. Recent research has shown that significant energy improvements can be achieved in WSNs by exploiting a mobile sink for data collection via single hop communications. A mobile sink approaches the transmission range of sensors to receive their data and deposit the data at the base station. The thesis, as a second problem, focuses on the design issues of an energy efficient restricted tour construction for sink mobility. We propose two different techniques. The first one is heuristic and uses a criterion based on maximum coverage and minimum energy consumption called the "max-ratio". Although its time complexity is polynomial, this heuristic algorithm cannot always produce a good solution. As a result, we propose the sec- ond algorithm. Despite the time complexity of the second algorithm being pseudo polynomial, the optimal solution can be found if one exists. For each algorithm men- tioned, two scenarios are taken into account with regard to the transmission. In the first scenario, one assumes that there is no upper bound on the transmission range while in the second setting the nodes can adjust their transmission range between 0 and the maximum range. The algorithms have been implemented and simulated in Matlab.
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2

Hassanzadeh, Navid. "Scalable Data Collection for Mobile Wireless Sensor Networks." Thesis, KTH, Kommunikationsnät, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-98818.

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In the near future WSNs (wireless sensor networks) which consist of tiny wireless embedded systems will be an inseparable part of our daily lives. Data collection, collecting data from a large number of sources to one or more base stations, is a typical application for WSNs. A substantial number of data collection algorithms have been specifically designed for static scenarios while there are some scenarios in which sensor nodes are attached to intrinsically mobile objects. Generally, in such scenarios delay tolerant networking approaches have been exploited for offline data analysis. However, in-situ dta collection from mobile scenarios has received little attention. We propose Mobile Collect to address the limitations of static data collection protocols in mobile scenarios. For this purpose, Collection Tree Protocol (CTP), a de facto standard for data collection, which is implemented in Contiki-OS (Contiki Collect), has been optimized to avoid loops and to react quickly to topology changes which occur frequently in mobile scenarios. The MAC (Medium Access Control) layer in WSNs has a decisive impact on the overall performance of mobile networks in terms of power consumption, and packet delivery rate. We have evaluated Mobile Collect protocol with a receiver-initiated (A-MAC that we implemented in Contiki-OS) and a sender-initiated (Contiki-MAC) MAC protocol. Compared to the Contiki Collect and the recently proposed DYMO (Dynamic MANET On-demand) protocol, MObile Collect with Contiki-MAC shows a significant improvement in reliability while it has a slight increase in power consumption. A-MAC slightly improves reliability for sparse topologies, but has higher power consumption.
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Hung, Ka-Lok. "The fair data collection problem in wireless sensor networks /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20HUNG.

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4

Tall, Hamadoun. "Load balancing in multichannel data collection wireless sensor networks." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC006/document.

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Les Réseaux de Capteurs Sans Fil (RCSF) sont de plus en plus exploités par des applications diverses grâce à leur facilité de déploiement et d’auto-configuration. Les applications de collecte de données qui utilisent les RCSF ont souvent un profil convergecast : l’ensemble des données récoltées par tous les capteurs du réseau sont acheminées vers un puits de collecte, grâce à une communication multi-saut. Pendant l’acheminement des données des nœuds de collecte vers le puits, des goulots d’étranglement sont fréquemment observés, principalement au voisinage du puits. Cela est du à la congestion et au phénomène d’entonnoir couramment observé sur le trafic de données ayant un profile convergecast. Outre un risque accru de collision, cela entraîne le débordement des files d’attente des nœuds concernés conduisant à des pertes de données. Cette perte réduit le taux de livraison au puits entraînant une baisse du débit du réseau. Afin de réduire ces pertes et de permettre un meilleur taux de livraison au puits, le trafic doit être équitablement réparti au niveau de chaque saut pendant l’acheminement. Dans cette thèse, nous avons d’une part proposé S-CoLBA (Single channel Collaborative Load Balancing Algorithm), un protocole mono-canal de routage dynamique avec équilibrage de la charge. Sa métrique de routage est basée sur le délais moyen d’accès au medium radio par nœud. Chaque nœud choisit comme prochain saut à destination du puits, un de ses voisins ayant le délais d’accès le plus court. S-CoLBA intègre également une surveillance permanente des files d’attente des nœuds afin de prévenir la congestion et d’éviter le débordement de ces files. D’autre part, nous avons adapté S-CoLBA pour le rendre utilisable dans un réseau multicanal. Cette version du protocole s’appelle M-CoLBA (pour Mulitchannel CoLBA). M-CoLBA évite la congestion en équilibrant la charge grâce à une répartition du trafic au niveau de chaque saut du réseau. Dans un réseau multicanal, le problème de support de diffusion se pose. M-CoLBA introduit des périodes de synchronisations où tous les nœuds utilisent le même canal pour échanger les informations de routage. Ces périodes de synchronisation contribuent à allonger les délais de bout en bout des paquets. Nous avons ainsi optimisé M-CoLBA en "surchargeant" les acquittements des trames avec les informations de routage ( piggybacking) et les états des files d’attente. Cela évite de passer par des périodes de synchronisation pour diffuser ces informations. Cette version optimisée s’appelle ABORt ( Acknowledgement-Based opportunistic Routing protocol). Dans un cas de trafic de type convergecast, ABORt induit une diversité des routes prises par les données collectées, ce qui est bénéfique à la quantité de données transportées et à la robustesse de la solution. Les contributions ont été évaluées par simulation et expérimentation dans un réseau monocanal et multicanal. Les résultats montrent que nos contributions améliorent le taux de livraison des données au puits, optimisent le délais de bout en bout et réduisent la quantité de trafic de contrôle comparé à des solutions déjà existantes
The popularity of wireless sensor networks (WSNs) is increasing due to their ease ofdeployment and auto-configuration capabilities. They are used in different applica-tion domains including data collection with convergecast scenarios. In convergecast,all data collected in the network is destined to one common node usually called thesink. In case of high carried traffic load and depending on the used routing policy,this many-to-one data collection leads to congestion and queue overflow mainly innodes located near the sink. Congestion and queue overflow reduce delivery ratiothat negatively affects the network efficiency.Wireless sensor nodes are resource constrained devices with limited buffers sizeto store and forward data to the sink. Introducing multichannel communication inWSNs helps to increase the carried traffic load thanks to allowing parallel data trans-mission and reduction of contention and interference. With high traffic load, thenumber of data packets travelling from leaf nodes towards the sink becomes higher.In case the routing scheme does not balance the traffic load, it will be unfairly dis-tributed between forwarding nodes. Thus, nodes that are in part of the routing will beoverloaded while others are less used. Overloaded nodes increase the risk of conges-tion and queue overflow leading to data loss that reduces the throughput. Therefore,we need to couple the routing protocols with traffic load balancing scheme in hightraffic load network scenarios.The goal of this thesis is to propose an efficient routing solution to prevent con-gestion and queue overflow in high data rate convergecast WSNs, in such a way, tooptimize data delivery ratio at the sink node.On the one hand, we proposed a single channel traffic load balancing routingprotocol, named S-CoLBA (Single channel Collaborative Load balancing routing).It relies on data queueing delay metric and best score (according to the value of themetric) next hop neighbors to fairly distribute traffic load in per hop basis in the net-work. Since the carried traffic load increases in multichannel communication, onthe other hand, we adapted our contribution to cope with multichannel WSNs andwe named it as Multichannel CoLBA (M-CoLBA). As broadcasting information isnot straightforward in multichannel, we optimize M-CoLBA to use piggybackingscheme for routing information sharing in the network. This enhanced version iscalled ABORt for Acknowledgement-Based opportunistic Routing protocol and re-lies on ACK frames to share routing information. Doing so helps to optimize dataframe end-to-end delay and to reduce the transmitted beacons in the network. ABORtfairly distributes traffic load in the network and avoids congestion and queue over-flow.We evaluated the performance of our contributions in both simulation using Con-tiki OS Cooja simulator and experiment (only for S-CoLBA) on TelosB motes. Ob-tained results in both simulation and experiment confirm the efficiency of our routingprotocols in term of packet delivery ratio and queue overflow compared to some ex-isting routing protocols in the literature
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5

Rodhe, Ioana. "Secure and Privacy-Aware Data Collection in Wireless Sensor Networks." Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180087.

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A wireless sensor network is a collection of numerous sensors distributed on an area of interest to collect and process data from the environment. One particular threat in wireless sensor networks is node compromise attacks, that is, attacks where the adversary gets physical access to a node and to the programs and keying material stored on it. Only authorized queries should be allowed in the network and the integrity and confidentiality of the data that is being collected should be protected. We propose a layered key distribution scheme together with two protocols for query authentication and confidential data aggregation. The layered key distribution is more robust to node and communication failures than a predefined tree structure. The protocols are secure under the assumption that less than n sensor nodes are compromised. n is a design parameter that allows us to trade off security for overhead. When more than n sensor nodes are compromised, our simulations show that the attacker can only introduce unauthorized queries into a limited part of the network and can only get access to a small part of the data that is aggregated in the network. Considering the data collection protocol we also contribute with strategies to reduce the energy consumption of an integrity preserving in-network aggregation scheme to a level below the energy consumption of a non-aggregation scheme. Our improvements reduce node congestion by a factor of three and the total communication load by 30%. Location privacy of the users carrying mobile devices is another aspect considered in this thesis. Considering a mobile sink that collects data from the network, we propose a strategy for data collection that requires no information about the location and movement pattern of the sink. We show that it is possible to provide data collection services, while protecting the location privacy of the sink. When mobile phones with built-in sensors are used as sensor nodes, location information about where the data has been sensed can be used to trace users and infer other personal information about them, like state of health or personal preferences. Therefore, location privacy preserving mechanisms have been proposed to provide location privacy to the users. We investigate how a location privacy preserving mechanism influences the quality of the collected data and consider strategies to reconstruct the data distribution without compromising location privacy.
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6

Garcia, Juliette. "Opportunistic data collection and routing in segmented wireless sensor networks." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30153.

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La surveillance régulière des opérations dans les aires de manoeuvre (voies de circulation et pistes) et aires de stationnement d'un aéroport est une tâche cruciale pour son fonctionnement. Les stratégies utilisées à cette fin visent à permettre la mesure des variables environnementales, l'identification des débris (FOD) et l'enregistrement des statistiques d'utilisation de diverses sections de la surface. Selon un groupe de gestionnaires et contrôleurs d'aéroport interrogés, cette surveillance est un privilège des grands aéroports en raison des coûts élevés d'acquisition, d'installation et de maintenance des technologies existantes. Les moyens et petits aéroports se limitent généralement à la surveillance de quelques variables environnementales et des FOD effectuée visuellement par l'homme. Cette dernière activité impose l'arrêt du fonctionnement des pistes pendant l'inspection. Dans cette thèse, nous proposons une solution alternative basée sur les réseaux de capteurs sans fil (WSN) qui, contrairement aux autres méthodes, combinent les propriétés de faible coût d'installation et maintenance, de déploiement rapide, d'évolutivité tout en permettant d'effectuer des mesures sans interférer avec le fonctionnement de l'aéroport. En raison de la superficie d'un aéroport et de la difficulté de placer des capteurs sur des zones de transit, le WSN se composerait d'une collection de sous-réseaux isolés les uns des autres et du puits. Pour gérer cette segmentation, notre proposition s'appuie sur l'utilisation opportuniste des véhicules circulants dans l'aéroport considérés alors comme un type spécial de nœud appelé Mobile Ubiquitous LAN Extension (MULE) chargé de collecter les données des sous-réseaux le long de son trajet et de les transférer vers le puits. L'une des exigences pour le déploiement d'un nouveau système dans un aéroport est qu'il cause peu ou pas d'interruption des opérations régulières. C'est pourquoi l'utilisation d'une approche opportuniste basé sur des MULE est privilégiée dans cette thèse. Par opportuniste, nous nous référons au fait que le rôle de MULE est joué par certains des véhicules déjà existants dans un aéroport et effectuant leurs déplacements normaux. Et certains nœuds des sous- réseaux exploiteront tout moment de contact avec eux pour leur transmettre les données à transférer ensuite au puits. Une caractéristique des MULEs dans notre application est qu'elles ont des trajectoires structurées (suivant les voies de circulation dans l'aéroport), en ayant éventuellement un contact avec l'ensemble des nœuds situés le long de leur trajet (appelés sous-puits). Ceci implique la nécessité de définir une stratégie de routage dans chaque sous-réseau, capable d'acheminer les données collectées des nœuds vers les sous-puits et de répartir les paquets de données entre eux afin que le temps en contact avec la MULE soit utilisé le plus efficacement possible. [...]
The regular monitoring of operations in both movement areas (taxiways and runways) and non-movement areas (aprons and aircraft parking spots) of an airport, is a critical task for its functioning. The set of strategies used for this purpose include the measurement of environmental variables, the identification of foreign object debris (FOD), and the record of statistics of usage for diverse sections of the surface. According to a group of airport managers and controllers interviewed by us, the wide monitoring of most of these variables is a privilege of big airports due to the high acquisition, installation and maintenance costs of most common technologies. Due to this limitation, smaller airports often limit themselves to the monitoring of environmental variables at some few spatial points and the tracking of FOD performed by humans. This last activity requires stopping the functioning of the runways while the inspection is conducted. In this thesis, we propose an alternative solution based on Wireless Sensor Network (WSN) which, unlike the other methods/technologies, combines the desirable properties of low installation and maintenance cost, scalability and ability to perform measurements without interfering with the regular functioning of the airport. Due to the large extension of an airport and the difficulty of placing sensors over transit areas, the WSN might result segmented into a collection of subnetworks isolated from each other and from the sink. To overcome this problem, our proposal relies on a special type of node called Mobile Ubiquitous LAN Extension (MULE), able to move over the airport surface, gather data from the subnetworks along its way and eventually transfer it to the sink. One of the main demands for the deployment of any new system in an airport is that it must have little or no interference with the regular operations. This is why the use of an opportunistic approach for the transfer of data from the subnetworks to the MULE is favored in this thesis. By opportunistic we mean that the role of MULE will be played by some of the typical vehicles already existing in an airport doing their normal displacements, and the subnetworks will exploit any moment of contact with them to forward data to the sink. A particular characteristic of the MULEs in our application is that they move along predefined structured trajectories (given by the layout of the airport), having eventual contact with the set of nodes located by the side of the road (so-called subsinks). This implies the need for a data routing strategy to be used within each subnetwork, able to lead the collected data from the sensor nodes to the subsinks and distribute the data packets among them so that the time in contact with the MULE is used as efficiently as possible. In this thesis, we propose a routing protocol which undertakes this task. Our proposed protocol is named ACME, standing for ACO-based routing protocol for MULE-assisted WSNs.[...]
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7

Chippa, Mukesh Kumar. "Performance of Tree-Based Data Collection in Wireless Sensor Systems." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312209206.

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8

Basheer, Al-Qassab. "Reliability of Data Collection and Transmission in Wireless Sensor Networks." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1377472863.

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9

Pinjala, Mallikarjuna Rao. "Adhoc routing based data collection application in wireless sensor networks." Kansas State University, 2010. http://hdl.handle.net/2097/6235.

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Master of Science
Department of Computing and Information Sciences
Gurdip Singh
Ad hoc based routing protocol is a reactive protocol to route messages between mobile nodes. It allows nodes to pass messages through their neighbors to nodes which they cannot directly communicate. It uses Route Request (RREQ) and Route Reply (RREP) messages for communication. Wireless sensor networks consist of tiny sensor motes with capabilities of sensing, computation and wireless communication. This project aims to implement data collector application to collect the temperature data from the set of wireless sensor devices located within a building, which will help in gathering the information by finding the route with minimum number of hops to reach destination and generates low message traffic by not encouraging the duplicate message within the network. Using this application, wireless devices can communicate effectively to provide the network information to the user. This system consists of a mobile wireless sensor device called base station which is connected to a PC to communicate and is the root of the network. It also consists of set of client sensor devices which are present in different parts of the building. This project has been evaluated by determining how well the ad hoc protocol performs by measuring the number of messages and time consumed in learning about the complete topology. This application will eventually find the path with minimum number of hops. Simple Network Management Protocol (SNMP) is also used to monitor the sensor nodes remotely. This project was developed using nesC and C programming languages with TinyOS and UNIX based operating systems. It has been tested with a sufficient number of motes and evaluated based on the number of messages generated and number of hops traveled for each route request.
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Xu, Gang. "QoI-Aware Data Collection for Mobile Users in Wireless Sensor Networks." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-196385.

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Ubiquitous data collection enables mobile users to collect data from the surrounding wireless sensors along their walks. However, the limited contact time and the wireless capacity constrain the amount of data that can be collected by the mobile users. Quality of Service (QoS) becomes very important for mobile users to collect sensing data that can maximize their information value. To the best of our knowledge, we are the first to propose a distributed algorithm that can support QoS ubiquitous data collection for multiple mobile users. Our distributed algorithm constructs the data collection trees adaptively to the dynamic moving speeds and the available capacity of the mobile users. It allocates capacity for receiving high priority data to maximize the information value with low communication overheads. Our algorithm supports smooth data collection for multiple mobile users with independent movements. We provide analysis and extensive simulations to evaluate the information value, energy efficiency and scalability of our distributed solution. The results showed that our distributed algorithm can improve information value up to 50% and reduce energy consumption to half compared with the existing approach. Our algorithm also scales perfectly well with increasing number of mobile users and moving speeds.
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Ji, Shouling. "Data Collection and Capacity Analysis in Large-scale Wireless Sensor Networks." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/cs_diss/76.

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In this dissertation, we study data collection and its achievable network capacity in Wireless Sensor Networks (WSNs). Firstly, we investigate the data collection issue in dual-radio multi-channel WSNs under the protocol interference model. We propose a multi-path scheduling algorithm for snapshot data collection, which has a tighter capacity bound than the existing best result, and a novel continuous data collection algorithm with comprehensive capacity analysis. Secondly, considering most existing works for the capacity issue are based on the ideal deterministic network model, we study the data collection problem for practical probabilistic WSNs. We design a cell-based path scheduling algorithm and a zone-based pipeline scheduling algorithm for snapshot and continuous data collection in probabilistic WSNs, respectively. By analysis, we show that the proposed algorithms have competitive capacity performance compared with existing works. Thirdly, most of the existing works studying the data collection capacity issue are for centralized synchronous WSNs. However, wireless networks are more likely to be distributed asynchronous systems. Therefore, we investigate the achievable data collection capacity of realistic distributed asynchronous WSNs and propose a data collection algorithm with fairness consideration. Theoretical analysis of the proposed algorithm shows that its achievable network capacity is order-optimal as centralized and synchronized algorithms do and independent of network size. Finally, for completeness, we study the data aggregation issue for realistic probabilistic WSNs. We propose order-optimal scheduling algorithms for snapshot and continuous data aggregation under the physical interference model.
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Fan, Kai-Wei. "On Structure-less and Everlasting Data Collection in Wireless Sensor Networks." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1211897758.

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Box, Stephanie. "Arterial roadway traffic data collection using bluetooth technology." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42778.

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The use of Bluetooth technology for gathering traffic data is becoming increasingly popular due to the large volume of data that can be gathered at a relatively low cost. The limited number of devices in discoverable mode and potential long discovery time of the Bluetooth devices creates an opportunity for evaluating the sensor array setup that can maximize the sample of devices identified. This thesis investigates several factors that have a significant impact on the quality of the data obtained using Bluetooth, including the number of Bluetooth readers, orientation of the Bluetooth antennas, position of the readers relative to one another, and the location of the Bluetooth stations. The thesis begins with an overview of Bluetooth technology and literature review on the use of Bluetooth in previous traffic studies. Next, the methodology for the setup of the Bluetooth system and the four tests performed to evaluate the factors affecting the quality of the data are described. Through the results of these tests, it was observed that a "flat" antenna orientation allows for the greatest detection range and that the walls of buildings can prevent detection of Bluetooth devices inside the buildings. In addition, using multiple Bluetooth readers per sensor array resulted in statistically significant increases in number of detections of single reader sensors, and horizontally separated sensor arrays were observed to be more effective than vertically separated sensor arrays. Finally, the thesis concludes with a summary of findings and a discussion of further research needs.
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Drira, Wassim. "Secure collection and data management system for WSNs." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00814664.

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Nowadays, each user or organization is already connected to a large number of sensor nodes which generate a substantial amount of data, making their management not an obvious issue. In addition, these data can be confidential. For these reasons, developing a secure system managing the data from heterogeneous sensor nodes is a real need. In the first part, we developed a composite-based middleware for wireless sensor networks to communicate with the physical sensors for storing, processing, indexing, analyzing and generating alerts on those sensors data. Each composite is connected to a physical node or used to aggregate data from different composites. Each physical node communicating with the middleware is setup as a composite. The middleware has been used in the context of the European project Mobesens in order to manage data from a sensor network for monitoring water quality. In the second part of the thesis, we proposed a new hybrid authentication and key establishment scheme between senor nodes (SN), gateways (MN) and the middleware (SS). It is based on two protocols. The first protocol intent is the mutual authentication between SS and MN, on providing an asymmetric pair of keys for MN, and on establishing a pairwise key between them. The second protocol aims at authenticating them, and establishing a group key and pairwise keys between SN and the two others. The middleware has been generalized in the third part in order to provide a private space for multi-organization or -user to manage his sensors data using cloud computing. Next, we expanded the composite with gadgets to share securely sensor data in order to provide a secure social sensor network
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Nan, Chen Nan. "Wireless Transmission Method of Emergency Response---An Implementation for Multiple Sinks Data Collection in Wireless Sensor Networks." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-19999.

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In wireless sensor networks, source nodes usually send their data packets to a single sink following a specific routing protocol. In this way, unicast delivery becomes a dominant means of data transmission through the network. However, if one of links in the route is out of order, a dynamic routing protocol will rule the search by the routers for a new transmission route and thus, more time will be taken with regards to searching for the route. In this paper, a condition in which an emergency occurs is envisioned. Source nodes must send the emergency information packets to the possible sink as soon as possible. Then the multicast delivery should be taken instead of the unicast delivery so as to save more time.
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Ma, Xiaoyan. "Data collection of mobile sensor networks by drones." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19492/1/MA_Xiaoyan.pdf.

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Data collection by autonomous mobile sensor arrays can be coupled with the use of drones which provide a low-cost, easily deployable backhauling solution. These means of collection can be used to organize temporary events (sporting or cultural) or to carry out operations in difficult or hostile terrain. The aim of this thesis is to propose effective solutions for communication between both mobile sensors on the ground and on the edge-to-ground link. For this purpose, we are interested in scheduling communications, routing and access control on the sensor / drone link, the mobile collector. We propose an architecture that meets the constraints of the network. The main ones are the intermittence of the links and therefore the lack of connectivity for which solutions adapted to the networks tolerant to the deadlines are adopted. Given the limited opportunities for communication with the drone and the significant variation in the physical data rate, we proposed scheduling solutions that take account of both the contact time and the physical flow rate. Opportunistic routing is also based on these two criteria both for the selection of relay nodes and for the management of queues. We wanted to limit the overhead and propose efficient and fair solutions between mobile sensors on the ground. The proposed solutions have proved superior to conventional scheduling and routing solutions. Finally, we proposed a method of access combining a random access with contention as well as an access with reservation taking into account the aforementioned criteria. This flexible solution allows a network of dense mobile sensors to get closer to the performance obtained in an oracle mode. The proposed solutions can be implemented and applied in different application contexts for which the ground nodes are mobile or easily adapted to the case where the nodes are static.
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Edordu, C. J. "Energy efficient data collection and dissemination protocols in self-organised wireless sensor networks." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/20451/.

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Wireless sensor networks (WSNs) are used for event detection and data collection in a plethora of environmental monitoring applications. However a critical factor limits the extension of WSNs into new application areas: energy constraints. This thesis develops self-organising energy efficient data collection and dissemination protocols in order to support WSNs in event detection and data collection and thus extend the use of sensor-based networks to many new application areas. Firstly, a Dual Prediction and Probabilistic Scheduler (DPPS) is developed. DPPS uses a Dual Prediction Scheme combining compression and load balancing techniques in order to manage sensor usage more efficiently. DPPS was tested and evaluated through computer simulations and empirical experiments. Results showed that DPPS reduces energy consumption in WSNs by up to 35% while simultaneously maintaining data quality and satisfying a user specified accuracy constraint. Secondly, an Adaptive Detection-driven Ad hoc Medium Access Control (ADAMAC) protocol is developed. ADAMAC limits the Data Forwarding Interruption problem which causes increased end-to-end delay and energy consumption in multi-hop sensor networks. ADAMAC uses early warning alarms to dynamically adapt the sensing intervals and communication periods of a sensor according to the likelihood of any new events occurring. Results demonstrated that compared to previous protocols such as SMAC, ADAMAC dramatically reduces end-to-end delay while still limiting energy consumption during data collection and dissemination. The protocols developed in this thesis, DPPS and ADAMAC, effectively alleviate the energy constraints associated with WSNs and will support the extension of sensorbased networks to many more application areas than had hitherto been readily possible.
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18

Dayananda, Karanam Ravichandran. "Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28738.

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A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy supply, communication range and local computational capabilities. Data routing is an area that can be optimized to allow nodes to conserve energy, improving the network?s overall lifetime. Though many routing protocols can be used, using a clustering protocol can play an important role in conserving WSN energy. A new hybrid algorithm is proposed which incorporates both distributed and centralized algorithms for selection of the cluster head (CH). In most networks, sensor nodes have limited energy, so a mobile data collector (MDC) is used to collect information, reducing energy requirements. The performance of proposed algorithm is evaluated using NS-2 simulations. The results show that proposed algorithm has better performance, throughput, network lifetime compared to existing routing protocols.
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19

Wohlers, Felix Ricklef Scriven. "Delay-tolerant data collection in sensor networks with mobile sinks." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:734533bd-04a2-47f3-9213-f326a5449029.

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Collecting data from sensor nodes to designated sinks is a common and challenging task in a wide variety of wireless sensor network (WSN) applications, ranging from animal monitoring to security surveillance. A number of approaches exploiting sink mobility have been proposed in recent years: some are proactive, in that sensor nodes push their read- ings to storage nodes from where they are collected by roaming mobile sinks, whereas others are reactive, in that mobile sinks pull readings from nearby sensor nodes as they traverse the sensor network. In this thesis, we point out that deciding which data collection approach is more energy-efficient depends on application characteristics, includ- ing the mobility patterns of sinks and the desired latency of collected data. We introduce novel adaptive data collection schemes that are able to automatically adjust to changing sink visiting patterns or data requirements, thereby significantly easing the deployment of a WSN. We illustrate cases where combining proactive and reactive modes of data collection is particularly beneficial. This motivates the design of TwinRoute, a novel hybrid algorithm that can flexibly mix the two col- lection modes at appropriate levels depending on the application sce- nario. Our extensive experimental evaluation, which uses synthetic and real-world sink traces, allows us to identify scenario characteristics that suit proactive, reactive or hybrid data collection schemes. It shows that TwinRoute outperforms the pure approaches in most scenarios, achiev- ing desirable tradeoffs between communication cost and timely delivery of sensor data.
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20

Nordlander, Johan. "Data collection for an individual heat consumption measurement system using a Zigbee wireless network." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-96212.

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Individual heat/energy measurements have been a hot topic in Europe during the last 50 years, both for fair reasons and for energy saving reasons. The argument for using individual heat/energy measurements for fair reasons is that no one should pay more than he or she consumes no matter if the person lives in a rental apartment or in a house. Previous studies have shown that individual heat/energy measurements will lower the total energy consumed, when each tenant of a multi-apartment building has to pay for the actual amount of the consumed heat/energy individually. Unfortunately the installation cost of an individual heat/energy measurement system is considered to be high, so the economical arguments for installing this type of system in existing and new buildings have not been fullled. One reason for this is that until recently all of these systems used wired solutions. However the publication of the two wireless standards ZigBee and Zwave have opened new possibilities for creating entirely standardized wireless systems, reducing both the installation time and cost. The goal of this thesis work is to evaluate the possibilities for developing such a system based on the ZigBee standard. The work began with a study of the existing systems (hardware systems) available from some companies in Sweden (Brunata, Metrima, Siemens Building Technologies and Techem). This work also covers some communication protocols used (M-bus, BACnet, ZigBee) and dierent sensors (temperature, humidity, water consumption, and heat) used in an individual heat/energy measurement system. Based on this information a central data collection software server for windows has been developed. This together with a client application and a database server gives an entire software suite for data collection and data analysis of a ZigBee based heat/energy measurement system.
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21

Gurung, Sanjaya Acevedo Miguel Felipe. "Integrating environmental data acquisition and low cost Wi-Fi data communication." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12131.

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22

Ostovari, Pouya. "Priority-Based Data Transmission in Wireless Networks using Network Coding." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/360800.

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Computer and Information Science
Ph.D.
With the rapid development of mobile devices technology, they are becoming very popular and a part of our everyday lives. These devices, which are equipped with wireless radios, such as cellular and WiFi radios, affect almost every aspect of our lives. People use smartphone and tablets to access the Internet, watch videos, chat with their friends, and etc. The wireless connections that these devices provide is more convenient than the wired connections. However, there are two main challenges in wireless networks: error-prone wireless links and network resources limitation. Network coding is widely used to provide reliable data transmission and to use the network resources efficiently. Network coding is a technique in which the original packets are mixed together using algebraic operations. In this dissertation, we study the applications of network coding in making the wireless transmissions robust against transmission errors and in efficient resource management. In many types of data, the importance of different parts of the data are different. For instance, in the case of numeric data, the importance of the data decreases from the most significant to the least significant bit. Also, in multi-layer videos, the importance of the packets in different layers of the videos are not the same. We propose novel data transmission methods in wireless networks that considers the unequal importance of the different parts of the data. In order to provide robust data transmissions and use the limited resources efficiently, we use random linear network coding technique, which is a type of network coding. In the first part of this dissertation, we study the application of network coding in resource management. In order to use the the limited storage of cache nodes efficiently, we propose to use triangular network coding for content distribution. We also design a scalable video-on-demand system, which uses helper nodes and network coding to provide users with their desired video quality. In the second part, we investigate the application of network coding in providing robust wireless transmissions. We propose symbol-level network coding, in which each packet is partitioned to symbols with different importance. We also propose a method that uses network coding to make multi-layer videos robust against transmission errors.
Temple University--Theses
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23

Hakoura, Bassel. "Comparison of collection tree protocols with gossip algorithms for data aggregation in wireless sensor networks." Thesis, McGill University, 2011. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=104639.

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Wireless sensor networks are used in many different applications due to their favorableproperties, such as low cost, low power consumption and ease in deployment. One sucharea where they have gained popularity is data collection. Here, there are many readingsbeing collected by sensor nodes that need to be aggregated for further processing. Severalalgorithms exist for decentralized monitoring of aggregates, but the two that stand outamongst the rest are tree-based protocols and gossip-based protocols. In this thesis, wecompare the performance of the Collection Tree Protocol (CTP) to two different gossipalgorithms: pairwise randomized gossip and broadcast gossip. Performance is measuredin terms of the total number of messages transmitted because this corresponds to theamount of power consumed for aggregation. CTP is a routing protocol that is used inreal WSN deployments and is implemented in the TinyOS operating system. One of themain questions of interest in this thesis is what is the cost of setting up and maintaining aspanning tree using CTP in environments where links are lossy or they fail. In order for CTPto form the spanning tree or for randomized gossip to exchange messages, nodes need toknow their neighbors. Therefore we look into neighborhood discovery techniques to accountfor the number of messages transmitted for this purpose. Furthermore, we employ a lossywireless link model. Simulations show that CTP for data aggregation outperforms pairwiserandomized gossip in all simulation settings for different network sizes and different linkfailure probabilities. Broadcast gossip and CTP perform quite similarly in small networksunder certain node initializations, but broadcast gossip is much better than CTP andtransmits a smaller number of messages in large networks.
Les réseaux de capteurs sans fil sont utilisés dans de nombreuses applications en raison de leurs abondants atouts, tels que leur faible coût, leur faible consommation d'énergie ainsi que la facilité de leur déploiement. Le domaine des applications de collecte de données est probablement celui où les réseaux de capteur sans fil ont gagné le plus en popularité lors de la dernière décennie. Dans le domaine des applications de collecte de données, il s'agit de recueillir de nombreuses lectures par les capteurs puis ultèrieurement les regrouper et les analyser. Plusieurs algorithmes existent pour le suivi décentralisé des données, mais les deux qui se démarquent du reste sont des protocoles fondés sur les arborescences et les protocoles décentralisés de passage de messages. Dans cette thèse, nous comparons les performances du protocole basé sur les arborescences (CTP) à deux protocoles décentralisés de passage de messages différents: le premier concerne le passage décentralisé des informations par des communications entre des paires de senseurs, le deuxième est celui de passage décentralisé de l'information par diffusion au niveau du réseau. La performance est mesurée en termes du nombre total de messages transmis, car cela correspond à la quantité d'énergie consommée pour regrouper l'information des senseurs. CTP (de l'anglais Collection Tree Protocol) ou protocole basé sur des arborescences est un protocole de routage qui est utilisé dans les déploiements des réseaux de senseur sans fil et est implémentée dans le système d'exploitation TinyOS. Une des principales questions d'intérêt dans cette thèse est quel est le coût de la mise en place et le maintien d'un arbre couvrant le réseau dans des environnements où des liens sont à perte. Afin de former l'arbre de recouvrement ou pour effectuer le passage décentralisé des informations par paires de senseurs, les noeuds ont besoin de connâitre leurs voisins. Par conséquent, nous nous penchons sur les techniques de découverte de voisinage afin de pouvoir savoir le nombre des messages transmis à cet effet. En outre, nous employons un modèle de réseau sans fil avec perte. Les simulations montrent que pour la collecte et les regroupements des données, la technique basée sur une arborescence surpasse celle de passage décentralisée des informations par paires de senseurs dans tous les scénarios de simulation, pour différentes tailles de réseaux et différentes probabilités de défaillance des liens. La comparaison entre la technique de passage décentralisée de l'information par diffusion et la technique basée sur une arborescence donne des résultats assez similaires dans les réseaux de petite taille et pour certains types d'initialisation. Par contre, l'avantage des algorithmes de passage décentralisés de l'information par diffusion est le petit nombre de messages transmis lorsque la taille des réseaux devient plus importante.
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24

Mukhopadhyay, Shoubhik. "Enabling rich applications and reliable data collection in embedded wireless networks with low-footprint devices." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3339221.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed February 10, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 104-107).
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25

Habib, Carol. "Energy-efficient data collection and fusion in wireless body sensor networks for continuous health monitoring." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD046.

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Plusieurs défis existent dans les réseaux de capteurs corporels sans fil tels que la collecte et la fusion de données physiologiques dans un environnement contraignant. En effet, les nœuds de capteurs sans fil ont des ressources limitées en énergie, traitement et mémoire. En outre, une grande quantité de données est collectée. Ces données sont hétérogènes, ambiguës et imprécises. Ajoutons que l'interprétation des données est influencée par plusieurs facteurs externes tels que les informations contextuelles fournies par la personne surveillée. En conséquence la prise de décisions et l'analyse des informations extraite sont influencées.Tout d'abord une technique de collecte de données est proposée. Celle-ci a pour intérêt de réduire la quantité de données collectée et la consommation d'énergie. Dans le modèle proposé, l'énergie consommée par les nœuds capteurs sans fil pour capter et pour transmettre les signes vitaux est particulièrement ciblée. Il s'agit à la fois d'un mécanisme temps-réel pour l'adaptation du taux d'échantillonnage et d'un système de détection local permettant aux nœuds de transmettre uniquement les données indiquant un changement dans l'état de santé de la personne.Deuxièmement, un modèle de fusion de données pour l'évaluation de l'état de santé de la personne surveillée est proposé. Les données fusionnées sont les signes vitaux de la personne qui proviennent de plusieurs capteurs. Ces données sont interprétées de manière humaine et sont caractérisées par l'ambiguïté et l'imprécision. Ainsi, nous proposons d'utiliser un système d'inférence floue.Ensuite, nous proposons d'évaluer l'état de santé de la personne surveillée tout en prenant en compte le contexte dans lequel elle se trouve. Étant donné que les signes vitaux de l'être humain ainsi que son contexte tels que : son activité physique, son dossier médical et ses informations personnelles sont fortement corrélés, interprétation des signes vitaux est largement influencée. Plus particulièrement, nous proposons d'utiliser les ensembles flous hésitants pour déterminer subjectivement l'intensité de l'activité physique de la personne. L'approche proposée prend en considération le profil de la personne ainsi que les caractéristiques de l'activité physique en cours.Finalement, une application médicale spécifique est ciblée. Nous proposons de détecter et d'évaluer le stress en temps réel tout en considérant la consommation d'énergie. Shimmer 3 GSR + est utilisé comme capteur sans fil pour capter le signal Photoplethysmogram (PPG) et la conductance cutanée. Une application mobile Android est développée pour extraire du signal PPG les signes vitaux qui sont corrélés au stress tels que la fréquence cardiaque, la fréquence respiratoire et la pression artérielle
Several challenges exist in Wireless Body Sensor Networks such as the data collection and fusion especially that (1) wireless sensor nodes have limited energy, processing and memory resources, (2) the amount of periodically gathered data is huge, (3) the gathered data are characterized by a heterogeneous nature and (4) the data interpretation to ensure decision-support is influenced byseveral external factors such as the provided context information of the monitored person.In this thesis, the aforementioned challenges were tackled by proposing scientific aproaches. Firstly, an energy-efficient data collection technique is proposed. This technique targets the energy consumed by biosensor nodes for sensing and transmitting vital signs. It consists of a real-timesampling rate adaptation mechanism and a local detection system which are provided at the level of the nodes. Second, in order to perform a health assessment based on the collected data, a multisensor data fusion model is proposed. In this approach, the coordinator of the network performs anassessment of the patient's health condition based on the collected measurements of his/her vital signs. Such data is interpreted in a human-reasoning way and are characterized by ambiguity and imprecision. Thus, we propose to use a Fuzzy Inference System. Then, given that vital signs are highly correlated to the context of the monitored person, a context-aware multi-sensor data fusionmodel for health assessment is proposed. The person's context include his/her physical activity status, medical record and personal information. This information highly influences the interpretation of vital signs. Hesitant fuzzy sets are used to subjectively evaluate the intensity of the person's physical activities based on his/her personal information and the activity's characteristics. Finally, a specific healthcare monitoring application is targeted. A real-time stress detection and evaluation framework is proposed while taking into consideration the energy consumption constraint. Shimmer 3 GSR+ is used as a wireless sensor node to sense the Photoplethysmogram (PPG) signal and the skin conductance. An android mobile application is developed to extract from the PPG signal stress correlated vital signs such as the heart rate, the respiration rate and the blood pressure
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26

Yadav, Poonam. "Cross-layer protocols to support periodic data collection and event driven wireless sensor network applications." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/9218.

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Over the last 10 years, Wireless Sensor Networks (WSNs) have evolved as a hot interdisciplinary research area. What started as a concept of ubiquitous computing with the initial assumptions of low-cost and low power sensing, has now progressed to the development of new wireless sensing applications supported by the advancement of computing devices. Similarly, a vast number of said applications have also emerged with varying Quality of Service (QoS) requirements. It is our argument that the current approach whereby there is a need to customise protocols for individual applications contributes to the slow uptake WSN in the real world. Likewise, we believe that generalised solutions are not always appropriate and while tailor-made solutions are costly. Therefore, we advocate that protocols that understand the notion of a classification of WSN applications can be a potential solution to this problem; in that the tailoring pertains to the type of application or their behaviour classes. Hence, we present the design of a classification-based cross-layer WSN stack that considers Dual-Mode Periodic Data Collection and Event- Driven Monitoring (D-PEDM) applications. In this thesis, we first derive the D-PEDM protocol configuration parameters through thorough analysis of the QoS requirements, physical constraints, and resource constraints of D-PEDM applications. Once the DPEDM protocol configuration parameters are derived, we design an Emergent Broadcast Slot (EBS) scheme, as well as Medium Access Control (YA-MAC) and efficient Priority Based Routing (PBR) protocols. We evaluate each protocol individually as well as an integrated cross-layer stack using the WSN standard test-beds. Further, we show how an Adaptive Rate Control (ARC) protocol can be used with these types of applications. More specifically we introduce the EBS synchronisation scheme that efficiently handles control messages (broadcast messages) in Duty-Cycled Multi-hop (DCM) networks by integrating routing and application broadcast messages together. This approach minimises the overhead caused by control messages that results in improved application level throughput. Additionally, EBS enables efficient decentralised sleep-awake coordination among neighbourhood nodes that improves the power usage in battery-powered sensor devices up to 5-6 times. To meet the latency requirements of the D-PEDM applications, YA-MAC provides support to handle unicast messages in an asynchronous manner that not only reduces the event traffic latency but also reduces contention in the network. To further improve the latency and reliabilities of bursty event traffic; PBR uses a priority queuing mechanism and traffic differentiation schemes. In the traffic differentiation scheme, PBR gives priority to event traffic and diverts non-priority traffic away from the event traffic path to alternative random paths. This favours the QoS of event traffic in many ways: first, it reduces the contention in the event traffic path resulting in less collisions and fewer back-offs at MAC layer, which in turn significantly improves end-to-end event traffic latency (by 10 ms per hop). Additionally, the MAC layers reduced numbers of back-offs inherently reduces re-transmissions by 70% thereby reducing the energy consumption by 2/3. Furthermore, PBR increases the probability of event data reaching the Sink/Base-station as compared to that of when both event and non-event share same paths. The D-PEDM cross-layer stack, which includes EBS, YA-MAC, and PBR, achieves 80% application level throughput while operating in less than 10% duty-cycle in presence of relatively high unicast data traffic.
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27

Gurung, Sanjaya. "Integrating environmental data acquisition and low cost Wi-Fi data communication." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12131/.

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This thesis describes environmental data collection and transmission from the field to a server using Wi-Fi. Also discussed are components, radio wave propagation, received power calculations, and throughput tests. Measured receive power resulted close to calculated and simulated values. Throughput tests resulted satisfactory. The thesis provides detailed systematic procedures for Wi-Fi radio link setup and techniques to optimize the quality of a radio link.
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28

Ciccarelli, Armand. "An analysis of the impact of wireless technology on public vs. private traffic data collection, dissemination and use." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8817.

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Thesis (M.C.P. and S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2001.
Includes bibliographical references (leaves 151-154).
The collection of data concerning traffic conditions (e.g., incidents, travel times, average speed, traffic volumes, etc.) on roadways has traditionally been carried out by those public entities charged with managing traffic flow, responding to incidents, and maintaining the surface of the roadway. Pursuant to this task, public agencies have employed inductive loop detectors, closed circuit television cameras, technology for tracking electronic toll tags, and other surveillance devices, in an effort to monitor conditions on roads within their jurisdictions. The high cost of deploying and maintaining this surveillance equipment has precluded most agencies from collecting data on roads other than freeways and important arterials. In addition, the "point" nature of most commonly utilized surveillance equipment limits both the variety of data available for analysis, as well as its overall accuracy. Consequently, these problems have limited the usefulness of this traffic data, both to the public agencies collecting it, as well as private entities who would like to use it as a resource from which they can generate fee-based traveler information services. Recent Federal Communications Commission (FCC) mandates concerning E-911 have led to the development of new technologies for tracking wireless devices (i.e., cellular phones). Although developed to assist mobile phone companies in meeting the FCC's E-911 mandate, a great deal of interest has arisen concerning their application to the collection of traffic data. That said, the goal of this thesis has been to compare traditional traffic surveillance technologies' capabilities and effectiveness with that of the wireless tracking systems currently under development. Our technical research indicates that these newly developed tracking technologies will eventually be able to provide wider geographic surveillance of roads at less expense than traditional surveillance equipment, as well as collect traffic information that is currently unavailable. Even so, our overall conclusions suggest that due to budgetary, institutional, and/or political constraints, some organizations may find themselves unable to procure this high quality data. Moreover, we believe that even those organizations (both public and private) that find themselves in a position to procure data collected via wireless tracking technology should first consider the needs of their "customers," the strength of the local market for traffic data, and their organization's overall mission, prior to making a final decision.
by Armand J. Ciccarelli, III.
M.C.P.and S.M.
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29

Kosen, Emre. "Design And Implementation Of Mobile Patient Data Collection And Transmission System For An Emergency Ambulance." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604970/index.pdf.

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In this thesis, a low-cost system, called Mobile Ambulance, is designed and implemented that provides patient&rsquo
s medical data collection and transmission from a moving ambulance. The aim of the system is to decrease the waiting time for critical care patients to be seen at the emergency department (ED) at the same time to equip the emergency physician with the essential medical data before the patient arrives the ED. Mobile Ambulance is a multi-tiered distributed application composed of three components: ambulance component to capture patient&rsquo
s essential medical data (EMD) and to transmit it to the ED (transmission is wireless via General Packet Radio Service, GPRS), synchronization component (synch for short) to persist incoming data into the back-end database and to warn the emergency physician, and service component to analyze the patient&rsquo
s EMD.
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30

Zetterman, Björn-Erik Adrian. "Beekeepers usage of IoT : Data collection, sharing and visualization in the domain of beekeeping." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77814.

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This master thesis is exploring Beekeepers usage of Internet of Things, or “Internet of Bees”. Since most of the prior contributions are focusing on data gathering, the approach to focus on the users needs is central to take next steps in the field of using IoT for Beekeeping. After the introduction a chapter with an overview of current research and commercial solutions are presented. This is followed by a quantitative study with 222 responds, answering what beekeepers like to know about their bees, what platforms used by end users and what the beekeeper as a user expects. An demo of an existing commercial system is set up in real conditions, describing how to mount and configure a demo. Communication, synchronization and presentation is described. A closed user interface and a public user interface are a part of the demonstration. Potential users of this technique are interviewed to gain better understanding of users opinion of the demo. This is followed by another demo using a free of charge app where sound analysis processed with AI is tested. This thesis explains what beekeepers as users of Internet of Things could gain added value to their beekeeping.
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Carneiro, Viana Aline. "Putting data delivery into context: Design and evaluation of adaptive networking support for successful communication in wireless self-organizing networks." Habilitation à diriger des recherches, Université Pierre et Marie Curie - Paris VI, 2011. http://tel.archives-ouvertes.fr/tel-00653813.

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Ce document est dédié à mes travaux de recherche développés au cours des six dernières années sur la conception et l'évaluation de systèmes de réseaux sans fil et est le résultat d'un certain nombre de collaborations. En particulier, mon objectif principal a été le soutien à la livraison fiable de données dans les réseaux sans fil auto-organisés. La question centrale, qui a guidée mes activités de recherche, est la suivante: "quels sont les services réseaux sous-jacents à la bonne conception de stratégies de communication sans fil dans les systèmes de réseaux auto-organisés (fixe ou mobile)?". Les réseaux auto-organisés (WSONs) ont des caractéristiques intrinsèques et, par conséquent, nécessitent des solutions particulières qui les distinguent des réseaux traditionnels basés sur des graphes. Les différents types de WSONs nécessitent des services adaptatifs ciblés pour faire face à leur nature (i.e., la mobilité, la limitation des ressources, le manque de fiabilité des communications sans fil,. . .) et pour trouver une adéquation entre leur fonctionnement et l'environnement. Influencée par de telles observations, mes activités de recherche ont été guidées par l'objectif principal de fournir au niveau du réseau un soutien à la livraison fiable de données dans les réseaux sans fil auto-organisés. Les axes de recherche, que j'ai développés avec mes collègues dans ce contexte, sont classés comme étant des services adaptifs "au niveau noeud" et "au niveau réseau" et se distinguent par le niveau auquel l'adaptation est considérée. Mes contributions, liées à la première catégorie de service, reposent sur les services de localisation et de découverte de voisinage. En raison de la limitation de page, ce manuscrit est, cependant, consacré à la recherche que j'ai menée autour des services adaptatifs au niveau du réseau. Par conséquent, il est structuré en trois chapitres principaux correspondants à trois classes de services réseaux : des services de gestion de la topologie, des services de gestion des données et des services de routage et d'acheminement. Ma première contribution concerne des services de gestion de la topologie, qui sont réalisés grâce à l'adaptation des noeuds - en imposant une hiérarchie dans le réseau via la clusterisation ou en supprimant des noeuds du graphe du réseau en les éteignant - et par la mobilité contrôlée - qui affecte à la fois la présence de noeuds et de liens, ainsi que la qualité des liens dans le graphe du réseau. Se basant sur l'adaptation de noeuds, le protocole SAND, les systèmes VINCOS et NetGeoS qui portent respectivement sur la conservation d'énergie et sur l'auto-structuration des réseaux de capteurs sans fil (WSN) ont été proposés. Ensuite, se basant sur la mobilité contrôlée, des propositions, liées à la conception de trajectoire de Hilbert et du protocole Cover, ont été présentées. Elles se concentrent sur le déploiement de solutions pour la couverture de zone avec des noeuds mobiles et ont été conçues pour surveiller périodiquement une zone géographique ou pour couvrir des noeuds de capteurs mobiles (cibles). Considérant les services de gestion de données, mes contributions se rapportent à la collecte des données - qui implique des solutions de distribution de données avec des objectifs liés a l'organisation - et la diffusion des données - où les flux de données sont dirigés vers le réseau. Pour cela, les protocoles DEEP et Supple ont été conçus pour les réseaux de capteurs sans fil, tandis que FairMix et VIP delegation se concentrent sur la diffusion d'information dans les réseaux sans fil sociaux. En particulier, afin d'améliorer la diffusion des données, FairMix et VIP delegation, exploitent les similarités des intérêts sociaux des personnes ou des groupes dans les réseaux fixes ou l'aspect social de leurs interactions sans fil dans les réseaux mobiles. Finalement, mes travaux sur les services adaptatifs d'acheminement attaquent la problèmatique de la connectivité opportuniste dans les réseaux sans fil tolérants aux délais. Dans ce contexte, les protocoles Seeker et GrAnt ont été conçus et utilisent respectivement l'histoire du contact entre les noeuds (les schémas de contact et de communication) et les propriétés des réseaux sociaux de noeuds afin de prédire les futures rencontres et de mieux ajuster les décisions de transfert. Au regard des nouvelles possibilités de communication et du changement dynamique observé au cours des dernières années dans les réseaux sans fil, mes activités de recherche se sont progressivement orientés des réseaux auto-organisés connectés vers les réseaux connectés par intermittence et opportunistes. De cette façon, mes perspectives de recherche future sont: (1) tirer profit des schémas de mobilité incontrôlée des dispositifs mobiles pervasifs pour améliorer les efforts de perception collaborative; (2) regarder plus en profondeur les techniques de génération de graphes sociaux à partir des traces décrivant les contacts entre les noeuds; (3) étudier quels sont les facteurs ayant un impact (positif ou négatif) sur le succès de la diffusion de l'information dans les réseaux sociaux mobiles, et (4) étudier la possibilité d'adapter le codage réseau à la diffusion d'information dans les réseaux sociaux mobiles.
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32

Demigha, Oualid. "Energy Conservation for Collaborative Applications in Wireless Sensor Networks." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0058/document.

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Les réseaux de capteurs sans fil est une technologie nouvelle dont les applications s'étendent sur plusieurs domaines: militaire, scientifique, médicale, industriel, etc. La collaboration entre les noeuds capteurs, caractérisés par des capacités minimales en termes de capture, de transmission, de traitement et d'énergie, est une nécessité pour réaliser des tâches aussi complexes que la collecte des données, le pistage des objets mobiles, la surveillance des zones sensibles, etc. La contrainte matérielle sur le développement des ressources énergétiques des noeuds capteurs est persistante. D'où la nécessité de l'optimisation logicielle dans les différentes couches de la pile protocolaire et du système d'exploitation des noeuds. Dans cette thèse, nous approchons le problème d'optimisation d'énergie pour les applications collaboratives via les méthodes de sélection des capteurs basées sur la prédiction et la corrélation des données issues du réseau lui-même. Nous élaborons plusieurs méthodes pour conserver les ressources énergétiques du réseau en utilisant la prédiction comme un moyen pour anticiper les actions des noeuds et leurs rôles afin de minimiser le nombre des noeuds impliqués dans la tâche en question. Nous prenons l'application de pistage d'objets mobiles comme un cas d'étude. Ceci, après avoir dresser un état de l'art des différentes méthodes et approches récentes utilisées dans ce contexte. Nous formalisons le problème à l'aide d'un programme linéaire à variables binaires dans le but de trouver une solution générale exacte. Nous modélisons ainsi le problème de minimisation de la consommation d'énergie des réseaux de capteurs sans fil, déployé pour des applications de collecte de données soumis à la contrainte de précision de données, appelé EMDP. Nous montrons que ce problème est NP-Complet. D'où la nécessité de solutions heuristiques. Comme solution approchée, nous proposons un algorithme de clustering dynamique, appelé CORAD, qui adapte la topologie du réseau à la dynamique des données capturées afin d'optimiser la consommation d'énergie en exploitant la corrélation qui pourrait exister entre les noeuds. Toutes ces méthodes ont été implémentées et testées via des simulations afin de montrer leur efficacité
Wireless Sensor Networks is an emerging technology enabled by the recent advances in Micro-Electro-Mechanical Systems, that led to design tiny wireless sensor nodes characterized by small capacities of sensing, data processing and communication. To accomplish complex tasks such as target tracking, data collection and zone surveillance, these nodes need to collaborate between each others to overcome the lack of battery capacity. Since the development of the batteries hardware is very slow, the optimization effort should be inevitably focused on the software layers of the protocol stack of the nodes and their operating systems. In this thesis, we investigated the energy problem in the context of collaborative applications and proposed an approach based on node selection using predictions and data correlations, to meet the application requirements in terms of energy-efficiency and quality of data. First, we surveyed almost all the recent approaches proposed in the literature that treat the problem of energy-efficiency of prediction-based target tracking schemes, in order to extract the relevant recommendations. Next, we proposed a dynamic clustering protocol based on an enhanced version of the Distributed Kalman Filter used as a prediction algorithm, to design an energy-efficient target tracking scheme. Our proposed scheme use these predictions to anticipate the actions of the nodes and their roles to minimize their number in the tasks. Based on our findings issued from the simulation data, we generalized our approach to any data collection scheme that uses a geographic-based clustering algorithm. We formulated the problem of energy minimization under data precision constraints using a binary integer linear program to find its exact solution in the general context. We validated the model and proved some of its fundamental properties. Finally and given the complexity of the problem, we proposed and evaluated a heuristic solution consisting of a correlation-based adaptive clustering algorithm for data collection. We showed that, by relaxing some constraints of the problem, our heuristic solution achieves an acceptable level of energy-efficiency while preserving the quality of data
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33

Xu, Chuan. "Power-Aware Protocols for Wireless Sensor Networks." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS498/document.

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Ce manuscrit contient d'abord l'étude d'une extension du modèle des protocoles de populations, qui représentent des réseaux de capteurs asynchrones, passivement mobiles, limités en ressources et anonymes. Pour la première fois (à notre connaissance), un modèle formel de consommation d'énergie est proposé pour les protocoles de populations. A titre d'application, nous étudions à la complexité en énergie (dans le pire des cas et en moyenne) pour le problème de collecte de données. Deux protocoles prenant en compte la consommation d'énergie sont proposés. Le premier est déterministe et le second randomisé. Pour déterminer les valeurs optimales des paramètres, nous faisons appel aux techniques d'optimisation. Nous appliquons aussi ces techniques dans un cadre différent, celui des réseaux de capteurs corporels (WBAN). Une formulation de flux est proposée pour acheminer de manière optimale les paquets de données en minimisant la pire consommation d'énergie. Une procédure de recherche à voisinage variable est développée et les résultats numériques montrent son efficacité. Enfin, nous considérons le problème d'optimisation avec des paramètres aléatoires. Précisément, nous étudions un modèle semi-défini positif sous contrainte en probabilité. Un nouvel algorithme basé sur la simulation est proposé et testé sur un problème réel de théorie du contrôle. Nous montrons que notre méthode permet de trouver une solution moins conservatrice que d'autres approches en un temps de calcul raisonnable
In this thesis, we propose a formal energy model which allows an analytical study of energy consumption, for the first time in the context of population protocols. Population protocols model one special kind of sensor networks where anonymous and uniformly bounded memory sensors move unpredictably and communicate in pairs. To illustrate the power and the usefulness of the proposed energy model, we present formal analyses on time and energy, for the worst and the average cases, for accomplishing the fundamental task of data collection. Two power-aware population protocols, (deterministic) EB-TTFM and (randomized) lazy-TTF, are proposed and studied for two different fairness conditions, respectively. Moreover, to obtain the best parameters in lazy-TTF, we adopt optimization techniques and evaluate the resulting performance by experiments. Then, we continue the study on optimization for the power-aware data collection problem in wireless body area networks. A minmax multi-commodity netflow formulation is proposed to optimally route data packets by minimizing the worst power consumption. Then, a variable neighborhood search approach is developed and the numerical results show its efficiency. At last, a stochastic optimization model, namely the chance constrained semidefinite programs, is considered for the realistic decision making problems with random parameters. A novel simulation-based algorithm is proposed with experiments on a real control theory problem. We show that our method allows a less conservative solution, than other approaches, within reasonable time
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34

Badreddine, Wafa. "Communication Protocols in Wireless Body Area Networks (WBAN)." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS214.

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Dans les réseaux WBAN, les capteurs sont utilisés pour surveiller, collecter et transmettre des signes médicaux et d'autres informations sur le corps humain (EEG, ECG, SpO2, température, etc.) à un nœud principal qu’on appelle « Sink ». Il y a plusieurs préoccupations dans les WBAN, allant de la conception de protocoles de communication fiables et efficaces face à la mobilité du corps humain à une communication faible en consommation énergétique. Les WBAN diffèrent des réseaux de capteurs sans fil typiques à grande échelle et se caractérisent par une mobilité dans le réseau qui suit les mouvements du corps humain et une qualité des liens qui varie en fonction de la posture du porteur. Aussi, la puissance d'émission des capteurs est maintenue faible afin d'améliorer leur autonomie et de réduire l’exposition aux ondes électromagnétiques des porteurs. Par conséquent, compte tenu des effets d’absorption du corps, des réflexions et des interférences, il est difficile de maintenir un lien direct (à un saut) entre le « Sink » et les autres nœuds. La communication multi-sauts représente une alternative viable. Nous avons évalué essentiellement deux primitives de communication: broadcast et converge-cast. Nous avons implémenté différentes stratégies de communication avec le simulateur Omnet++ auquel nous avons intégré le projet Mixim et un modèle de canal réaliste pour un scénario représentatif d'un réseau WBAN. Ce modèle est issu d'une recherche récente de l'informatique biomédicale et décrit les liens entre 7 nœuds, qui appartiennent au même WBAN, et qui sont attachés au corps humain sur la tête, la poitrine, le bras, le poignet, le nombril, la cuisse et la cheville. Les atténuations du signal sur ces liens sont calculées pour 7 postures qui varient entre des positions statiques à fortement mobiles et sont présentées, pour chaque couple de nœuds, sous la forme d’une atténuation moyenne et d’écart-type. Ensuite, nous nous sommes intéressés au problème de broadcast dans WBAN. Nous avons analysé plusieurs stratégies de diffusion inspirées des réseaux DTN avec différents niveaux de connaissance du réseau: des stratégies de type flooding, où les nœuds diffusent les paquets à l'aveugle, et des stratégies basées sur la connaissance du voisinage, où la diffusion est plus contraignante. Nos résultats ont montré que les stratégies de diffusion existantes ne résistent pas face à la mobilité du corps humain et ne peuvent pas être transposées sans des modifications significatives dans un contexte WBAN. Ainsi, nous avons proposé deux nouvelles stratégies de diffusion qui surpassent les stratégies existantes en termes de latence, de couverture du réseau et de la consommation d’énergie des capteurs. Nous avons également analysé la capacité de toutes ces stratégies à assurer l’ordre FIFO (c'est-à-dire les paquets sont reçus dans l'ordre de leur envoi) en les stressant avec différents taux de transmission du nœud « Sink ». Sans exception, les stratégies de diffusion à plat existantes enregistrent une baisse drastique de performance lorsque le taux de transmission augmente. Ainsi, nous avons pu proposer le premier protocole de diffusion inter-couches MAC-réseau, CLBP. Notre protocole exploite la mobilité du corps humain en choisissant soigneusement les liens de communication les plus fiables dans chaque posture. De plus, notre protocole a un mécanisme d'attribution de slots qui réduit la consommation d'énergie, les collisions, l'écoute inactive et la sur-écoute des capteurs. Nous nous sommes également concentrés sur le problème de converge-cast dans les réseaux WBAN. Nous avons adapté à partir des réseaux DTN et WSN des stratégies converge-cast représentatives que nous avons classées en trois catégories: basées sur le modèle du canal, basées sur la diffusion et basées sur multi-chemins. Nous avons étudié trois paramètres: la résilience à la mobilité corporelle, le délai de bout en bout et la consommation d'énergie. [...]
The rapid advances in sensors and ultra-low power wireless communication has enabled a new generation of wireless sensor networks: Wireless Body Area Networks (WBAN). WBAN is a recent challenging area. There are several concerns in this area ranging from energy efficient communication to designing delay efficient protocols that support nodes dynamic induced by human body mobility. In WBAN tiny devices are deployed in/on or around a human body, are able to detect and collect the physiological phenomena of the human body (such as: EEG, ECG, SpO2, etc.), and transmit this information to a collector point (i.e Sink) that will process it, take decisions, alert or record. WBAN differs from typical large-scale wireless sensor networks WSN in many aspects: Network size is limited to a dozen of nodes, in-network mobility follows the body movements and the wireless channel has its specificities. Links have a very short range and a quality that varies with the wearer's posture. The transmission power is kept low to improve devices autonomy and reduce wearers electromagnetic exposition. Consequently, the effects of body absorption, reflections and interference cannot be neglected and it is difficult to maintain a direct link (one-hop) between the Sink and all WBAN nodes. Thus, multi-hop communication represents a viable alternative. In this work we investigate energy-efficient multi-hop communication protocols in WBAN. Our work is part of SMART-BAN Self-organizing Mobility Aware, Reliable and Timely Body Area Networks project. In order to evaluate our communication protocols described in the sequel in a specific WBAN scenario, we implemented them under the Omnet++ simulator that we enriched with the Mixim project and a realistic human body mobility and channel model issued from a recent research on biomedical and health informatics. We are interested in WBAN where sensors are placed on the body. We focus on two communication primitives: broadcast and converge-cast. For the broadcasting problem in WBAN, we analyze several broadcast strategies inspired from the area of DTN then we propose two novel broadcast strategies MBP: Mixed Broadcast Protocol and Optimized Flooding: -MBP (Mixed Broadcast Protocol): We proposed this strategy as a mix between the dissemination-based and knowledge-based approaches. -OptFlood (Optimized Flooding): This strategy takes into account the strengths and weaknesses of the basic strategy Flooding. Optimized Flooding is a revised version of Flooding whose purpose is to keep the good end-to-end delay given by Flooding while lowering energy consumption with the simplest way and the minimum cost. Additionally, we performed investigations of independent interest related to the ability of all the studied strategies to ensure the FIFO order consistency property (i.e. packets are received in the order of their sending) when stressed with various transmission rates. These investigations open new and challenging research directions. With no exception, the existing flat broadcast strategies register a dramatic drop of performances when the transmission rate is superior to 11Kb/s. There, we propose the first network-MAC layer broadcast protocol, CLBP, designed for multi-hop communication and resilient to human body postures and mobility. Our protocol is optimized to exploit the human body mobility by carefully choosing the most reliable communication paths in each studied posture. Moreover, our protocol includes a slot assignment mechanism that reduces the energy consumption, collisions, idle listening and overhearing. Additionally, CLBP includes a synchronization scheme that helps nodes to resynchronize with the Sink on the fly. Our protocol outperforms existing flat broadcast strategies in terms of percentage of covered nodes, energy consumption and correct reception of FIFO-ordered packets and maintains its good performances up to 190Kb/s transmission rates. [...]
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35

Trobinger, Matteo. "Fast, Reliable, Low-power Wireless Monitoring and Control with Concurrent Transmissions." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/312928.

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Low-power wireless technology is a part and parcel of our daily life, shaping the way in which we behave, interact, and more generally live. The ubiquity of cheap, tiny, battery-powered devices augmented with sensing, actuation, and wireless communication capabilities has given rise to a ``smart" society, where people, machines, and objects are seamlessly interconnected, among themselves and with the environment. Behind the scenes, low-power wireless protocols are what enables and rules all interactions, organising these embedded devices into wireless networks, and orchestrating their communications. The recent years have witnessed a persistent increase in the pervasiveness and impact of low-power wireless. After having spawned a wide spectrum of powerful applications in the consumer domain, low-power wireless solutions are extending their influence over the industrial context, where their adoption as part of feedback control loops is envisioned to revolutionise the production process, paving the way for the Fourth Industrial Revolution. However, as the scale and relevance of low-power wireless systems continue to grow, so do the challenges posed to the communication substrates, required to satisfy ever more strict requirements in terms of reliability, responsiveness, and energy consumption. Harmonising these conflicting demands is far beyond what is enabled by current network stacks and control architectures; the need to timely bridge this gap has spurred a new wave of interest in low-power wireless networking, and directly motivated our work. In this thesis, we take on this challenge with a main conceptual and technical tool: concurrent transmissions (CTX), a technique that, by enforcing nodes to transmit concurrently, has been shown to unlock unprecedented fast, reliable, and energy efficient multi-hop communications in low-power wireless networks, opening new opportunities for protocol design. We first direct our research endeavour towards industrial applications, focusing on the popular IEEE 802.15.4 narrowband PHY layer, and advance the state of the art along two different directions: interference resilience and aperiodic wireless control. We tackle radio-frequency noise by extensively analysing, for the first time, the dependability of CTX under different types, intensities, and distributions of reproducible interference patterns, and by devising techniques to push it further. Specifically, we concentrate on CRYSTAL, a recently proposed communication protocol that relies on CTX to rapidly and dependably collect aperiodic traffic. By integrating channel hopping and noise detection in the protocol operation, we provide a novel communication stack capable of supporting aperiodic transmissions with near-perfect reliability and a per-mille radio duty cycle despite harsh external interference. These results lay the ground towards the exploitation of CTX for aperiodic wireless control; we explore this research direction by co-designing the Wireless Control Bus (WCB), our second contribution. WCB is a clean-slate CTX-based communication stack tailored to event-triggered control (ETC), an aperiodic control strategy holding the capability to significantly improve the efficiency of wireless control systems, but whose real-world impact has been hampered by the lack of appropriate networking support. Operating in conjunction with ETC, WCB timely and dynamically adapts the network operation to the control demands, unlocking an order-of-magnitude reduction in energy costs w.r.t. traditional periodic approaches while retaining the same control performance, therefore unleashing and concretely demonstrating the true ETC potential for the first time. Nevertheless, low-power wireless communications are rapidly evolving, and new radios striking novel trade-offs are emerging. Among these, in the second part of the thesis we focus on ultra-wideband (UWB). By providing hitherto missing networking primitives for multi-hop dissemination and collection over UWB, we shed light on the communication potentialities opened up by the high data throughput, clock precision, and noise resilience offered by this technology. Specifically, as a third contribution, we demonstrate that CTX not only can be successfully exploited for multi-hop UWB communications but, once embodied in a full-fledged system, provide reliability and energy performance akin to narrowband. Furthermore, the higher data rate and clock resolution of UWB chips unlock up to 80% latency reduction w.r.t. narrowband CTX, along with orders-of-magnitude improvements in network-wide time synchronization. These results showcase how UWB CTX could significantly benefit a multitude of applications, notably including low-power wireless control. With WEAVER, our last contribution, we make an additional step towards this direction, by supporting the key functionality of data collection with an ultra-fast convergecast stack for UWB. Challenging the internal mechanics of CTX, WEAVER interleaves data and acknowledgements flows in a single, self-terminating network-wide flood, enabling the concurrent collection of different packets from multiple senders with unprecedented latency, reliability, and energy efficiency. Overall, this thesis pushes forward the applicability and performance of low-power wireless, by contributing techniques and protocols to enhance the dependability, timeliness, energy efficiency, and interference resilience of this technology. Our research is characterized by a strong experimental slant, where the design of the systems we propose meets the reality of testbed experiments and evaluation. Via our open-source implementations, researchers and practitioners can directly use, extend, and build upon our contributions, fostering future work and research on the topic.
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36

Lobo, Felipe Leite. "Eficiência de energia através de coleta periódica em redes de sensores sem fio." Universidade Federal do Amazonas, 2012. http://tede.ufam.edu.br/handle/tede/2889.

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Made available in DSpace on 2015-04-11T14:02:36Z (GMT). No. of bitstreams: 1 Felipe Lobo.pdf: 609088 bytes, checksum: ab4ee5abe3ca57cd1089d41d9089b070 (MD5) Previous issue date: 2012-03-22
One of the main applications on Wireless Sensors Networks (WSNs) is the environmental monitoring, particularly in monitoring of the fauna in diverse places like forests, fields, etc. In these environments that are of difficult access, the maintenance of the sensors is impaired and energy restriction becomes a major factor in the life of the network. How in most such cases the data are not needed in real time, in this work is proposed and evaluated a new cross-layer algorithm, called PWAVE, turned to WSNs with periodic data collection, where data transmissions are made through a predetermined interval. While such transfers are not performed, the sensor still collecting information from the environment and turn off their radios to reduce energy consumption. Several other challenges appear before this way of working, for example, the synchronization of clocks, which are readily solved by the algorithm. The results show that the proposed solution is efficient and can save up to 51.2 % of energy with 99 % in the rate of data delivery when compared with similar solutions
Uma das principais aplicações existentes em Redes de Sensores Sem Fio (RSSFs) é o monitoramento ambiental, mais particularmente no acompanhamento da fauna existente em locais diversos como florestas, campos, etc. Nesses ambientes de difícil acesso, a manutenção dos sensores fica prejudicada e a restrição de energia torna-se um fator primordial para a vida útil da rede. Como na maioria desses casos os dados não são necessários em tempo real, neste trabalho é proposto e avaliado um novo algoritmo cross-layer, denominado PWAVE, voltado para RSSFs com coleta periódica, onde as transmissões dos dados são feitas através de intervalos predeterminados. Enquanto essas transmissões não são executadas, o sensor permanece coletando as informações do ambiente e seus rádios desligam-se, a fim de reduzir o consumo de energia. Diversos outros desafios aparecem diante deste modo de trabalho como, por exemplo, a sincronização dos relógios, que são prontamente solucionados pelo algoritmo proposto. Os resultados mostram que a solução proposta é eficiente e consegue economizar até 51.2% de energia com 99% na taxa de entrega de dados quando comparado com soluções similares
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37

Hrbáček, Zdeněk. "Zařízení pro monitorování teploty a vlhkosti s vzdáleným přenosem dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413196.

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The purpose of this work is to design and implement a device for collecting temperature and humidity from bee hive. The system consists of a measuring unit that contains digital sensors and actuators.The system transmits the measured values wirelessly to the parent unit, which displays the data in a suitable format to the user. The user can monitor the hive parameters and use the actuators to adjust the temperature inside the hive. The whole system then operates autonomously according to defined rules.
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38

Rášo, Peter. "Bezdrátová síť snímačů pro měření sacího potenciálu půdy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218896.

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Cílem tohoto projektu je vytvoření bezdrátové senzorické sítě na měření sacího potenciálu půdy. Práce obsahuje výběr vhodné měřící metody obsahu vody v půdě, jejíž součástí je i tvorba kalibrač˘ní křivky. Dále se zabývá realizací hardwaru a firmwaru pro dva typy modulů. Stanice end station, obsahující snímač˘e, a základní stanice base station, která přijímá a přeposílá data. Celá aplikace je doplněna o uživatelský program, který umožňuje zálohování dat, zobrazování průběhů dat včetně dat předchozích, změnu nastavení systému spolu s možností žádosti o potřebné informace.
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39

Votava, Martin. "Lokalizační protokol pro WSN s podporou mobility uzlů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218265.

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Work is focused on wireless sensor networks.The main theme is the mobility and localization in these networks. This work describes different methods and capabilities of mobile and localization schemes. This work describes a new localization protocol for wireless sensor networks. Finally, there is included a new protocol in the simulation at Network Simulator 2 and evaluate the results obtained.
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40

Karlsson, Daniel, and Alex Lindström. "Automated Learning and Decision : Making of a Smart Home System." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234313.

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Smart homes are custom-fitted systems for users to manage their home environments. Smart homes consist of devices which has the possibility to communicate between each other. In a smart home system, the communication is used by a central control unit to manage the environment and the devices in it. Setting up a smart home today involves a lot of manual customizations to make it function as the user wishes. What smart homes lack is the possibility to learn from users behaviour and habits in order to provide a customized environment for the user autonomously. The purpose of this thesis is to examine whether environmental data can be collected and used in a small smart home system to learn about the users behaviour. To collect data and attempt this learning process, a system is set up. The system uses a central control unit for mediation between wireless electrical outlets and sensors. The sensors track motion, light, temperature as well as humidity. The devices and sensors along with user interactions in the environment make up the collected data. Through studying the collected data, the system is able to create rules. These rules are used for the system to make decisions within its environment to suit the users’ needs. The performance of the system varies depending on how the data collection is handled. Results find that collecting data in intervals as well as when an action is made from the user is important.
Smarta hem är system avsedda för att hjälpa användare styra sin hemmiljö. Ett smart hem är uppbyggt av enheter med möjlighet att kommunicera med varandra. För att kontrollera enheterna i ett smart hem, används en central styrenhet. Att få ett smart hem att vara anpassat till användare är ansträngande och tidskrävande. Smarta hemsystem saknar i stor utsträckning möjligheten att lära sig av användarens beteende. Vad ett sådant lärande skulle kunna möjliggöra är ett skräddarsytt system utan användarens involvering. Syftet med denna avhandling är att undersöka hur användardata från en hemmiljö kan användas i ett smart hemsystem för att lära sig av användarens beteende. Ett litet smart hemsystem har skapats för att studera ifall denna inlärningsmetod är applicerbar. Systemet består av sensorer, trådlösa eluttag och en central styrenhet. Den centrala styrenheten används för att kontrollera de olika enheterna i miljön. Sensordata som sparas av systemet består av rörelse, ljusstyrka, temperatur och luftfuktighet. Systemet sparar även användarens beteende i miljön. Systemet skapar regler utifrån sparad data med målet att kunna styra enheterna i miljön på ett sätt som passar användaren. Systemets agerande varierade beroende på hur data samlades in. Resultatet visar vikten av att samla in data både i intervaller och när användare tar ett beslut i miljön.
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41

Sipp, Amy Renae. "A System for Collecting Data to Characterize a Pre-Fall Change in Sway: Development and Proof-of-Concept Analyses." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1210371947.

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42

Amadou, Kountché Djibrilla. "Localisation dans les bâtiments des personnes handicapées et classification automatique de données par fourmis artificielles." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4021/document.

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Le concept du « smart » envahit de plus en plus notre vie quotidienne. L’exemple type est sans doute le smartphone. Celui-ci est devenu au fil des ans un appareil incontournable. Bientôt, c’est la ville, la voiture, la maison qui seront « intelligentes ». L’intelligence se manifeste par une capacité d’interaction et de prise de décision entre l’environnement et l’utilisateur. Ceci nécessite des informations sur les changements d’états survenus des deux côtés. Les réseaux de capteurs permettent de collecter ces données, de leur appliquer des pré-traitements et de les transmettre aux applications. Ces réseaux de par certaines de leurs caractéristiques se rapprochent de l’intelligence collective, dans le sens, où des entités de faibles capacités se coordonnent automatiquement, sans intervention humaine, de façon décentralisée et distribuée pour accomplir des tâches complexes. Ces méthodes bio-inspirées ont servi à la résolution de plusieurs problèmes, surtout l’optimisation, ce qui nous a encouragé à étudier la possibilité de les utiliser pour les problèmes liés à l’Ambient Assisted Living ou AAL et à la classification automatique de données. L’AAL est un sous-domaine des services dits basés sur le contexte, et a pour objectifs de faciliter la vie des personnes âgées et handicapées dans leurs défis quotidiens. Pour ce faire, il détermine le contexte et, sur cette base, propose divers services. Deux éléments du contexte nous ont intéressé : le handicap et la position. Bien que la détermination de la position (localisation, positionnement) se fasse à l’extérieur des bâtiments avec des précisions très satisfaisantes, elle rencontre plusieurs difficultés à l’intérieur des bâtiments, liées à la propagation des ondes électromagnétiques dans les milieux difficiles, aux coûts des systèmes, à l’interopérabilité, etc. Nos travaux se sont intéressés au positionnement des personnes handicapées à l’intérieur de bâtiments en utilisant un réseau de capteurs afin de déterminer les caractéristiques de l’onde électromagnétique (puissance, temps, angle) pour estimer la position par méthodes géométriques (triangulation, latération), méthodes de fingerprinting (k plus proches voisins), par des filtres baysiens (filtre de Kalman). L’application est d’offrir des services types AAL tel que la navigation. Nous avons élargi la notion de réseau de capteurs pour prendre en compte tout appareil capable d’émettre et de recevoir une onde électromagnétique et se trouvant dans l’environnement. Nous avons aussi appliqué l’algorithme API sur la classification automatique de données. Enfin, nous avons proposé une architecture à middleware pour la localisation indoor
The concept of « smart » invades more and more our daily life. A typical example is the smartphone, which becames by years an essential device. Soon, it’s the city, the car and the home which will become « smart ». The intelligence is manifested by the ability for the environment to interact and to take decisons in its relationships with users and other environments. This needs information on state changes occurred on both sides. Sensor networks allow to collect these data, to apply on them some pre-processings and to transmit them. Sensor network, towards some of their caracteristics are closed to Swarm Intelligence in the sense that small entities with reduced capababilities can cooperate automatically, in unattended, decentralised and distributed manner in order to accomplish complex tasks. These bio-inspired methods have served as basis for the resolution of many problems, mostly optimization and this insipired us to apply them on problems met in Ambient Assisted Living and on the data clustering problem. AAL is a sub-field of context-aware services, and its goals are to facilitate the everyday life of elderly and disable people. These systems determine the context and then propose different kind of services. We have used two important elements of the context : the position and the disabilty. Although positioning has very good precision outdoor, it faces many challenges in indoor environments due to the electromagnetic wave propagation in harsh conditions, the cost of systems, interoperabilty, etc. Our works have been involved in positioning disabled people in indoor environment by using wireless sensor network for determining the caracteristics of the electromagnetic wave (signal strenght, time, angle) for estimating the position by geometric methods (triangulation, lateration), fingerprinting methods (k-nearest neighbours), baysiens filters (Kalman filter). The application is to offer AAL services like navigation. Therefore we extend the definition of sensor node to take into account any device, in the environment, capable of emiting and receiving a signal. Also, we have studied the possibility of using Pachycondylla Apicalis for data clustering and for indoor localization by casting this last problem as data clustering problem. Finally we have proposed a system based on a middleware architecture
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43

Saeedi, Amirali. "Utilizing wireless-based data collection units for automated vehicle movement data collection." Thesis, 2013. http://hdl.handle.net/1957/37210.

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There are many different types of automatic data collection technologies that have been used in transportation system applications such as pneumatic tubes, radar, video cameras, inductive loops detectors, wireless toll tags, and global positioning systems (GPS). Nevertheless, there are still multiple examples of important and helpful transportation system data that still require manual data collection. In this research, the automatic transportation system data collection capabilities are expanded by enhancements in the use of wireless communications technology. In recent years, smartphones and electronic peripherals with wireless communication capabilities have become very popular. Many of these electronic devices include a Bluetooth or Wi-Fi wireless radio, whose presence in a vehicle can be used as a vehicle identifier. With wireless on-board devices available now and in the future, this research explores how roadside data collection units (DCUs) communicating with on-board devices can be used for the automated data collection of important road system data such as intersection performance data. To this end, two approaches for wirelessly collecting vehicle movement over a short road segment were explored. One approach utilized the collection and triangulation of wireless signal strength data, and demonstrated the capabilities and limitations of this approach. The second approach focused on developing methods for utilizing wireless signal strength data for vehicle point detection and identification. The vehicle point detection methods developed were applied to collect travel time data over signalized arterial roads, and to collect intersection delay data for a three way stop controlled intersection. The results from these case studies indicate a significant advantage in the proposed data collection system over the existing data collection approaches presented in the literature.
Graduation date: 2013
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44

Shie, Ming-You, and 謝銘祐. "Wireless Sensor Networks In Ecological Environment Data Collection." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/pnys53.

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碩士
中原大學
電子工程研究所
105
In order to survive and reproduce, human spoil the ecological environment. We need to monitor and collect the change to inform and protect people. How to gather information from nature is the important issue. We study and solve this problem by the wireless sensor network. The wireless sensor network will self-organize [1]. We will make a real-time monitoring, observation data collection system environment. Implementing control on the use of Wang Yang company produced the board, the use of low-power and save electricity modules, TI''s MSP430 [2, 3] of the MCU, CC2500''s RF modules, Sensors and Timer, etc. modules. Wireless Sensor Networks is used DMAS [4] for the network topology architecture. According to the actual operation, the topology is more perfect, and analysis, adjust, improve the system. The system on the transmission data to avoid packet collision and interference noise, in order to enhance transmission efficiency. To reach the collection of sensing data, dynamic topology, scalability, fault tolerance, the load node of average energy consumption, energy-saving effect, etc. In addition, according to demand actually, the addition of solar power modules, as supplemented and auxiliary power supply.
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45

Chen, Meng-Tsen, and 陳孟岑. "Efficient Data Collection in Shared Wireless Sensor Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/30628301469009137455.

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碩士
國立清華大學
資訊工程學系
102
Shared wireless sensor network is a popular solution nowadays for reducing deployment cost. Sensors in it are shared to multiple applications. Meanwhile, they suffer more workload to satisfy more tasks from these applications. Fortunately, sharing data to multiple tasks is useful to decrease workload, as long as a shared sensor can collect data efficiently. Our study focuses on interval sampling problem, each task in which need a continuous interval of data sampling during its tasks duration. It is different from the data collect problem in the past studies, which only need single data sampling for each task. We design a light weight algorithm to collect data efficiently for a sensor. The time complexity and memory complexity of it are O(n^2) and O(n), respectively, and it has a theoretic bound, which is 4logn+1. The effectiveness of our algorithm is proved in theoretical analysis. The experimental results also show that our algorithm outperforms the greedy algorithm proposed by [11] on different types of instances.
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46

Tsai, I.-Chien, and 蔡宜蒨. "Adaptive Tree-based Data Collection for Wireless Sensor Network." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/73488412936369287083.

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碩士
國立中央大學
資訊工程研究所
100
Data collection in wireless sensor network with a mobile sink is an important research issue. The past approaches are that either consume too much energy or produce low delivery rate. In this thesis, we propose two novel approaches to collect data for wireless sensor networks in the presence of a mobile sink. The first approach, called Partial Adaptive Tree (PAT), reduces the update portion of the tree when the mobile sink moves from one place to another. The second approach, called Partial Adaptive Tree with Path Pruning (PAT-PP), applies the concept of path pruning on top of PAT. The simulation results show that both proposed approaches reduce the energy consumption significantly. In addition, PAT-PP is able to maintain a high delivery rate regardless of the node density and the speed of the mobile sink.
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47

Huang, Yi-Ya, and 黃翊雅. "Wireless Sensor Network Data Collection and Transmission for UAV." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/tv5tr2.

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碩士
國立臺北科技大學
電子工程系
106
Using Unmanned Aerial Vehicle (UAV) as a Mobile Data Collector (MDC) in a wireless sensor networks to collect sensor data could increase mobility and flexibility.Unmanned Aerial Vehicle (UAV) is used as a Mobile Data Collector (MDC) to collect sensor data in a wireless sensor networks, gain mobility and flexibility. It can effectively reduce the frequency of multi-hop when transmit the sensor data to the stationary ground control station, and significantly reduce the cost to maintain wireless sensor networks connection.It also can effectively extend the coverage of independent wireless sensor network. The information in the harsh natural environment can also be effectively collected and transmitted. Apply Wi-Fi and 4G-LTE communication methods for different transmission distances, and discuss throughput, network latency, RSSI values, and transmission time. The results show that it is advantageous for the transmission efficiency of large image files or huge amounts of sensor nodes. Using Wi-Fi and 4G-LTE communication methods for different transmission distances, the throughput, network latency, RSSI value, and transmission time are discussed. The results show that the UAV is capable of transmitting 1440 HD pictures when using Wi-Fi in 10 minutes. Compared with other methods, Zigbee only can transmit 29 pictures, LoRa can transmit 5 pictures, NB-IOT can transmit 5 pictures and BLE can transmit 360 pictures in 10 minutes. Using W-Fi has better transmission capacity, and it is conducive to the transmission efficiency of large images or huge sensor nodes, significantly reduce the unmanned aerial vehicle mission execution time and increase the number of executable missions performed by unmanned aerial vehicles. The maximum distance between Unmanned Aerial Vehicle and relay node in wireless sensor networks is 75.5 meters, and distance can facilitate remote transmission in wireless sensor networks. In addition, since the unmanned aerial vehicle does not have to be returned to the ground station, and can be directly transmitted within the coverage of the base station communication, which greatly reduces human resources costs.
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48

Yang, Shu-Wei, and 楊書瑋. "Data collection in wireless sensor network with multiple sinks." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/23441864436801044438.

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碩士
淡江大學
資訊工程學系碩士班
103
In the literature, there are many data collection schemes for multi-sink wireless sensor network (WSN). In most proposed schemes, each sink build its own data reporting tree for data collection, sensors need to duplicate sensing data then report many times to different reporting tree. However, disseminating duplicate data into WSN are wasting network resources, it might cause bandwidth congestion, high report latency and low network lifetime. In this paper, we propose quick data collection scheme for multiple sink data wireless sensor networks to solve the above problems. Our goal is to minimize the number of needed transmission links to conserve the needed resources for transmissions and shorten reporting path. The concept of the proposed scheme is as follows. At beginning, we choose a data intermediate node (DIN) for suffering the collected data from all nodes. After the DIN receives reporting packets from all nodes, it will forward the aggregated data to the corresponding sink in the network. After deciding the DIN, we then construct a BFS tree rooted at the DIN to collect nodes’ reports. Then, we propose a scheme to construct the aggregated routing paths to multiple sinks. The proposed scheme considers the situation when network density is low. After forming the routing path, we can further reduce the length of routing paths by removing some routing loops and redundant routing paths. The Simulation results indicate that the proposed scheme can effectively reduce the number of transmission links and shorten reporting path in the network.
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49

Kuai, Ssu-Chi, and 蒯思齊. "Data Storage and Collection Mechanisms in Wireless Sensor Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ua5883.

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博士
大同大學
資訊經營學系(所)
107
In the Wireless Sensor Network (WSN), the energy efficiency is made a very important issue due to the energy limitation of the sensors. Multi-hop routing, which is commonly used in the environment to collect data, is more likely to cause the sensor nodes near the sink location to use up energy early and cause the network to fail. In this paper, we discuss the research on various energy-saving issues in WSN and collate the references for four different fields, such as data collection methods, data storage methods, wake-up mechanisms, and software-defined networks. It is known from these references that in order to improve the sensor node energy limit of the WSN, numerous studies have been directed to saving the energy consumption of the sensor node. It includes the use of mobile sink to reduce hot-spot problems, improve data storage and query mechanism, and sense node wake-up mechanism. However, there is less research on the quality of data in these studies, and most of the environmental preconditions in the research are mainly fixed the sink and less research on the environment of the mobile sink. Therefore, the main purpose of this paper is to propose a complete data collection architecture to extend the lifetime of the WSN environment, including the storage, transmission, and collection of data. Specifically, the software-defined networking (SDN) technology is used to reduce the power consumption of processing and storage, and a wake-up mechanism is proposed to ensure that the data can be transmitted reliably, and finally collect the sensing data in the environment by using the mobile sink. This paper will propose three different processing methods in the corresponding architecture, which respectively solve the data transmission path and storage location determination method in the collection and concentration part of the sensing data; the data quality assurance topic uses the wake-up mechanism and transmission sequential design resolution; and a set of path planning methods for data collection to complete the final data collection. At the end of the paper, three parts are simulated and analyzed. The experimental results show that the proposed method can effectively extend the lifetime of the network, and can avoid the problem of data quality in the past research because of the increase of delay time. In terms of the efficiency of storage space utilization, experiments have also proved that our method successfully avoids data discarding caused by insufficient storage space and can improve the quality of data. Therefore, this paper presents an efficient method of data collection.
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50

Chen, Kai-I., and 陳愷翊. "The Study of Data Collection Protocols in Wireless Sensor Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/23692527798030034835.

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碩士
義守大學
資訊工程學系
101
In the study of wireless sensor networks, sensor nodes are mostly assumed to be randomly deployed. The transmission of data for sensors in the wireless sensor networks relies mainly on batteries, so that the most important thing is to extend the network lifetime by maintaining sensor energy. In this thesis, we propose a routing protocol, called HTR (Hexagon Tree Routing) method. In HTR, the wireless sensor network is divided into a number of regular hexagons of the same size. In each hexagon, the HTR chooses a sensor as the cluster head, and uses the cluster heads to build a routing tree. In the routing tree, each cluster head collects data from its upstream cluster heads and performs the data aggregation at the same time. According to the simulation results, the amount of remaining nodes of the HTR are about 1.3 times more than that of LEACH, and the number of packets collected of the HTR are 33% more than those of LEACH. It can be seen that our data collection method is more efficient than the well-known LEACH protocol. Meanwhile, we compare our method with the other data collection protocol called DGP. Our method also outperforms DGP.
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