Dissertations / Theses on the topic 'Wireless Data Collection'
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Rasul, Aram Mohammed. "Data collection in wireless sensor networks." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/37606.
Full textHassanzadeh, 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.
Full textHung, 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.
Full textTall, Hamadoun. "Load balancing in multichannel data collection wireless sensor networks." Thesis, Université Clermont Auvergne (2017-2020), 2018. http://www.theses.fr/2018CLFAC006/document.
Full textThe 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
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.
Full textWISENET
Garcia, Juliette. "Opportunistic data collection and routing in segmented wireless sensor networks." Thesis, Toulouse 3, 2020. http://www.theses.fr/2020TOU30153.
Full textThe 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.[...]
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.
Full textBasheer, 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.
Full textPinjala, Mallikarjuna Rao. "Adhoc routing based data collection application in wireless sensor networks." Kansas State University, 2010. http://hdl.handle.net/2097/6235.
Full textDepartment 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.
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.
Full textJi, Shouling. "Data Collection and Capacity Analysis in Large-scale Wireless Sensor Networks." Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/cs_diss/76.
Full textFan, 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.
Full textBox, Stephanie. "Arterial roadway traffic data collection using bluetooth technology." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42778.
Full textDrira, Wassim. "Secure collection and data management system for WSNs." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00814664.
Full textNan, 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.
Full textMa, Xiaoyan. "Data collection of mobile sensor networks by drones." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19492/1/MA_Xiaoyan.pdf.
Full textEdordu, 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/.
Full textDayananda, 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.
Full textWohlers, 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.
Full textNordlander, 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.
Full textGurung, 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.
Full textOstovari, 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.
Full textPh.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
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.
Full textLes 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.
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.
Full textTitle from first page of PDF file (viewed February 10, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 104-107).
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.
Full textSeveral 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
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.
Full textGurung, 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/.
Full textCiccarelli, 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.
Full textIncludes 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.
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.
Full texts 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.
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.
Full textCarneiro, 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.
Full textDemigha, Oualid. "Energy Conservation for Collaborative Applications in Wireless Sensor Networks." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0058/document.
Full textWireless 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
Xu, Chuan. "Power-Aware Protocols for Wireless Sensor Networks." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS498/document.
Full textIn 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
Badreddine, Wafa. "Communication Protocols in Wireless Body Area Networks (WBAN)." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS214.
Full textThe 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. [...]
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.
Full textLobo, 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.
Full textOne 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
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.
Full textRášo, 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.
Full textVotava, 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.
Full textKarlsson, 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.
Full textSmarta 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.
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.
Full textAmadou, 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.
Full textThe 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
Saeedi, Amirali. "Utilizing wireless-based data collection units for automated vehicle movement data collection." Thesis, 2013. http://hdl.handle.net/1957/37210.
Full textGraduation date: 2013
Shie, Ming-You, and 謝銘祐. "Wireless Sensor Networks In Ecological Environment Data Collection." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/pnys53.
Full text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.
Chen, Meng-Tsen, and 陳孟岑. "Efficient Data Collection in Shared Wireless Sensor Networks." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/30628301469009137455.
Full text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.
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.
Full text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.
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.
Full text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.
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.
Full text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.
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.
Full text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.
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.
Full text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.