Dissertations / Theses on the topic 'Sensor networks – Quality control'
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Bildea, Ana. "Link Quality in Wireless Sensor Networks." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM054/document.
Full textThe goal of the thesis is to investigate the issues related to the temporal link quality variation in large scale WSN environments, to design energy efficient link quality estimators able to distinguish among links with different quality on a short and a long term. First, we investigate the characteristics of two physical layer metrics: RSSI (Received Signal Strength Indication) and LQI (Link Quality Indication) on SensLAB, an indoor large scale wireless sensor network testbed. We observe that RSSI and LQI have distinct values that can discriminate the quality of links. Second, to obtain an estimator of PRR, we have fitted a Fermi-Dirac function to the scatter diagram of the average and standard variation of LQI and RSSI. The function enables us to find PRR for a given level of LQI. We evaluate the estimator by computing PRR over a varying size window of transmissions and comparing with the estimator. Furthermore, we show using the Gilbert-Elliot two-state Markov model that the correlation of packet losses and successful receptions depend on the link category. The model allows to accurately distinguish among strongly varying intermediate links based on transition probabilities derived from the average and the standard variation of LQI. Finally, we propose a link quality routing model driven from the F-D fitting functions and the Markov model able to discriminate accurately link categories as well as high variable links
LI, I.-HUNG. "Phase and Rate Control for Improving Information Quality in 802.15.4 Wireless Sensor." OpenSIUC, 2010. https://opensiuc.lib.siu.edu/theses/396.
Full textNkwogu, Daniel Nnaemeka. "Quality of service optimization and adaptive learning in wireless sensor actuator networks for control applications." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=215699.
Full textHughes, Jack Bryan. "Real-time link quality estimation and holistic transmission power control for wireless sensor networks." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34661/.
Full textDargie, Waltenegus. "Impact of Random Deployment on Operation and Data Quality of Sensor Networks." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-32911.
Full textStucki, Eric Thomas. "Medium Access Control and Networking Protocols for the Intra-Body Network." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1182.pdf.
Full textSpeer, Ngoc Anh Phan. "Design and Analysis of Adaptive Fault Tolerant QoS Control Algorithms for Query Processing in Wireless Sensor Networks." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27221.
Full textPh. D.
Boubrima, Ahmed. "Deployment and scheduling of wireless sensor networks for air pollution monitoring." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI018.
Full textWireless sensor networks (WSN) are widely used in environmental applications where the aim is to sense a physical phenomenon such as temperature, humidity, air pollution, etc. In this context of application, the use of WSN allows to understand the variations of the phenomenon over the monitoring region and therefore be able to take adequate decisions regarding the impact of the phenomenon. Due to the limitations of its traditional costly monitoring methods in addition to its high spatial and temporal variability, air pollution is considered as one of the main physical phenomena that still need to be studied and characterized. In this thesis, we consider three main applications regarding the use of WSN for air pollution monitoring: 1) the construction of real time air quality maps using sensor measurements; 2) the detection of pollution threshold crossings; and 3) the correction of physical models that simulate the pollution dispersion phenomenon. All these applications need careful deployment and scheduling of sensors in order to get a better knowledge of air pollution while ensuring a minimal deployment cost and a maximal lifetime of the deployed sensor network. Our aim is to tackle the problems of WSN deployment and scheduling while considering the specific characteristics of the air pollution phenomenon. We propose for each application case a new efficient approach for the deployment of sensor and sink nodes. We also propose a WSN scheduling approach that is adapted to the case of physical models’ correction. Our optimization approaches take into account the physical nature of air pollution dispersion and incorporate real data provided by the existing pollution sensing platforms. As part of each approach, we use integer linear programming to derive optimization models that are well adapted to solving small and medium instances. To deal with large instances, we propose heuristic algorithms while using linear relaxation techniques. Besides our theoretical works on air pollution monitoring, we design from scratch and deploy in the Lyon city a cost-effective energy-efficient air pollution sensor network. Based on the characteristics of our monitoring system in addition to real world air pollution datasets, we evaluate the effectiveness of our deployment and scheduling approaches and provide engineering insights for the design of WSN-based air pollution monitoring systems. Among our conclusions, we highlight the fact that the size of the optimal sensor network depends on the degree of the variations of pollution concentrations within the monitoring region
Ouyang, Wenbin. "On-Loom Fabric Defect Inspection Using Contact Image Sensors and Activation Layer Embedded Convolutional Neural Network." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404537/.
Full textSouil, Marion. "Contribution à la qualité de service dans les réseaux de capteurs sans fil." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00919777.
Full textAbebe, Zelalem Teffera. "Process Control over Wireless Sensor Networks." Thesis, KTH, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133584.
Full textKho, Johnsen. "Decentralised control of wireless sensor networks." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/66078/.
Full textWightman, Rojas Pedro Mario. "Topology Control in Wireless Sensor Networks." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1807.
Full textYilmaz, Mine. "Duty Cycle Control In Wireless Sensor Networks." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608856/index.pdf.
Full textCippitelli, Manuela. "Collaborative Power Control for Wireless Sensor Networks." Thesis, KTH, Reglerteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107530.
Full textLiu, Yunhuai. "Probabilistic topology control in wireless sensor networks /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?CSED%202008%20LIU.
Full textShang, Jizong. "Coverage control and localization with sensor networks." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12618.
Full textMotivated by the widespread applications of teams of mobile sensor nodes that collectively accomplish a common objective, this thesis has focusee on the study of the coverage control problem and its implementation. The objective of coverage control problem is to deploy multiple sensor nodes in an environment, often termed "mission space", so as to maximize a certain objective function. The main contribution ofthis thesis is propose provide a theoretical analysis and experimental implementation of coverage control algorithm, which extends a prior one in the literature. The convergence analysis for the gradient based coverage control algorithm developed previously in the CODES lab is first presented. This is achieved first by recognizing the non-smooth nature ofthe objective function and understanding the solution to the coverage control problem in the Filippov sense. Then, it is shown that the solution converges to an invariant set via the generalized LaSalle's Invariance Principle. Furthermore, to get an improved deployment of sensor nodes, a self-boosting algorithm is proposed. By the self- boosting algorithm, each sensor node has a modified objective function to optimize, which induces it to explore more uncovered areas and finally converges to the common objective function defined for the original coverage control problem. Thus, the final deployment yielded by the self-boosting algorithm is an improved maximum of the original problem. The implementation of the coverage control algorithm studied in this thesis motivates another research problem, which is the localization of sensor nodes. Sensor nodes are initially randomly deployed in the mission space and an algorithm is designed in this thesis localizes the sensor nodes based on a line-feature-based map of the mission space. Each sensor node is able to find its accurate location after collecting information from the environment, reasoning and estimating its locations based on the collected data. The coverage control and localization algorithms proposed in this thesis are all validated in experiments performed in the hallways of the photonics building at Boston University.
Su, Weilian. "Enabling Quality-of-Service Applications in Sensor Networks." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5205.
Full textDe, Carvalho e. Silva Bruno J. "Link quality analysis of wireless underground sensor networks." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/45903.
Full textDissertation (MEng)--University of Pretoria, 2014.
tm2015
Electrical, Electronic and Computer Engineering
MEng
Unrestricted
Eriksson, Oskar. "Error Control in Wireless Sensor Networks : A Process Control Perspective." Thesis, Uppsala universitet, Signaler och System, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-160784.
Full textXiong, Yunli. "A congestion control scheme for wireless sensor networks." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2331.
Full textJaleel, Hassan. "Power-aware control strategies in wireless sensor networks." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50390.
Full textOrhan, Ibrahim. "Performance Monitoring and Control in Wireless Sensor Networks." Licentiate thesis, KTH, Data- och elektroteknik (Stängd 20130701), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-94545.
Full textQC 20120529
Tomur, Emrah. "Security And Quality Of Service For Wireless Sensor Networks." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609359/index.pdf.
Full textEntezami, Fariborz. "Link-quality based routing framework for wireless sensor networks." Thesis, Kingston University, 2015. http://eprints.kingston.ac.uk/37346/.
Full textNabi, Muaz Un. "Media Access Control for Wireless Sensor and Actuator Networks." Thesis, Linköpings universitet, Kommunikationssystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79348.
Full textCasey, Michael J. "Self-organization and topology control of infrastructure sensor networks." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3183.
Full textThesis research directed by: Civil Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Park, Pangun. "Protocol Design for Control Applications using Wireless Sensor Networks." Licentiate thesis, KTH, School of Electrical Engineering (EES), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11307.
Full textGiven the potential benefits offered by wireless sensor networks(WSNs), they are becoming an appealing technology for process,manufacturing, and industrial control applications. In thisthesis, we propose a novel approach to WSN protocol design forcontrol applications. The protocols are designed to minimize theenergy consumption of the network, while meeting reliability andpacket delay requirements. The parameters of the protocol areselected by solving a constrained optimization problem, where theobjective is to minimize the energy consumption and theconstraints are the probability of successful packet reception andthe communication delay. The proposed design methodology allowsone to perform a systematic tradeoff between the controlrequirements of the application and the network energyconsumption. An important step in the design process is thedevelopment of analytical expressions of the performanceindicators. We apply the proposed approach to optimize the networkfor various communication protocols.
In Paper A, we present an adaptive IEEE 802.15.4 for energyefficient, reliable, and low latency packet transmission. Thebackoff mechanisms and retry limits of the standard are adapted tothe estimated channel conditions. Numerical results show that theproposed protocol enhancement is efficient and ensures a longerlifetime of the network under different conditions. Furthermore,we investigate the robustness and sensitivity of the protocol topossible errors during the estimation process.
In Paper B, we investigate the design and optimization ofduty-cycled WSNs with preamble sampling over IEEE 802.15.4. Theanalytical expressions of performance indicators are developed andused to optimize the duty-cycle of the nodes to minimize energyconsumption while ensuring low latency and reliable packettransmissions. The optimization results in a significant reductionof the energy consumption compared to existing solutions.
The cross-layer protocol called Breath is proposed in Paper C. Theprotocol is suitable for control applications by using theconstrained optimization framework proposed in the thesis. It isbased on randomized routing, CSMA/CA MAC, and duty-cycling. Theprotocol is implemented and experimentally evaluated on a testbed,and it is compared with a standard IEEE 802.15.4 solution. Breathexhibits a good distribution of the work load among the networknodes, and ensures a long network lifetime.
Kohagura, Monique Sachie. "Local coordination medium access control for wireless sensor networks." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Thesis/Summer2008/m_kohagura_050808.pdf.
Full textShum, L. L. "Topology control and data handling in wireless sensor networks." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18577/.
Full textMickus, Tautvydas. "Bio-inspired Medium Access Control for Wireless Sensor Networks." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/18261/.
Full textHaapola, J. (Jussi). "Evaluating medium access control protocols for wireless sensor networks." Doctoral thesis, University of Oulu, 2010. http://urn.fi/urn:isbn:9789514261152.
Full textYan, Yan. "Intelligent medium access control protocols for wireless sensor networks." Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/10671/.
Full textAbabnah, Ahmad A. "Sensor deployment in detection networks-a control theoretic approach." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/6699.
Full textDepartment of Electrical and Computer Engineering
Balasubramaniam Natarajan
For any automated surveillance operation to be successful, it is critical to have sensing resources strategically positioned to observe, interpret, react and maybe even predict events.In many practical scenarios, it is also expected that different zones within a surveillance area may have different probability of event detection (or false alarm) requirements. The operational objective in such surveillance systems is to optimize resources (number of sensors and the associated cost) and their deployment while guaranteeing a certain assured level of detection/false alarm performance. In this dissertation, we study two major challenges related to sensor deployment in distributed sensor networks (DSNs) for detection applications. The first problem we study is the sensor deployment problem in which we ask the following question: Given a finite number of sensors (with a known sensing profile), how can we deploy these sensors such that we best meet the detection and false alarm requirements in a DSN employing a specific information fusion rule? Even though sensor deployment has garnered significant interest in the past, a unified, analytical framework to model and study sensor deployment is lacking. Additionally, the algorithms proposed in literature are typically heuristic in nature and are limited to (1) simplistic DSN fusion architectures, and (2) DSNs with uniform detection/false alarm requirements. In this dissertation, we propose a novel treatment of the sensor deployment problem using concepts from optimal control theory. Specifically, the deployment problem is formulated as a linear quadratic regulator (LQR) problem which provides a rigorous and analytical framework to study the deployment problem. We develop new sensor deployment algorithms that are applicable to a wide range of DSN architectures employing different fusion rules such as (1) logical OR fusion; (2) value fusion; (3) majority decision fusion, and (4) optimal decision fusion. In all these cases, we demonstrate that our proposed control theoretic deployment approach is able to significantly outperform previously proposed algorithms. The second problem considered in this dissertation is the “self healing” problem in which we ask the following question: After the failure of a number of sensors, how can one reconfigure the DSN such that the performance degradation due to sensor loss is minimized? Prior efforts in tackling the self healing problem typically rely on assumptions that don’t accurately capture the behavior of practical sensors/networks and focus on minimizing performance degradation at a local area of the network instead of considering overall performance of the DSN. In this work, we propose two self healing strategies the first approach relies on adjusting decision thresholds at the fusion center. The second approach involves sensor redeployment based on our control theoretic deployment framework. Simulation results illustrate that the proposed algorithms are effective in alleviating the performance degradation due to sensor loss.
Humber, Gregory. "Quality of Information Aware Data Delivery in Wireless Sensor Networks." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-108032.
Full textEfficient energy use is paramount if sensor networks are to function for long periods.Already, researchers have delivered many efficiency schemes with various levels ofsuccesses; however, there is still need for improvements. This thesis is an attempt tomake further improvements on energy efficiency within wireless sensor networks.
Radio, sensing and light emitting diodes have dominated the power consumption oncurrent sensor network architectures. The radio consumes nearly as much energywhile it is listening as it does while transmitting. Naturally, if we reduce listening timesor if we reduce the number of messages transmitted then we would have reduced theenergy consumption. Some early successes in this area include power saving mediaaccess control protocols such as X-MAC that reduces the radio listening times bycycling through sleep and wake states and adaptive sampling techniques that havehelped to reduce the sensing and transmission numbers. This work is similar to theadaptive sampling techniques in that it focuses on saving energy by reducing thetransmission numbers.
This thesis tackles the problem of energy efficiency from a Quality of Information(QoI) perspective. Data is delivered with the quality of information at the forefront ofdelivery decisions, thus, samples are taken at a rate so that important events are notmissed, then a decision is taken whether to transmit the packet or not. Further tothis, we implement a routing protocol that is information aware, allowing it to providea better quality of service to important packets. Our goal is to lower the number ofmessages without degrading the quality of information.
This work is an improvement over static sampling methods because important eventscan be missed if the sampling rate is too low. We investigate our approach byimplementing a QoI aware routing algorithm based on the SPEED protocol and doevaluations using simulations and on a sensor network testbed with data from realdeployments.
Our results show that it is possible to reduce the number of messages transmittedand to reconstruct the missing data at the Sink with high fidelity. We were able toachieve in some instances up to 75% message reduction in our temperaturemeasuring application with 94% of all errors falling below 0.5 degrees Celsius.
Watson, Simon Andrew. "Mobile platforms for underwater sensor networks." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/mobile-platforms-for-underwater-sensor-networks(00f93130-f9d6-4479-80ab-58a0c60327c0).html.
Full textAhmad, Mohammad. "CONGESTION AVOIDANCE AND FAIRNESS IN WIRELESS SENSOR NETWORKS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2753.
Full textM.S.Cp.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering MSCpE
Bu, Shengrong. "Wireless ad-hoc control networks." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060316.151756/index.html.
Full textBlanchard, Tom. "Endocrine inspired control of wireless sensor networks : deployment and analysis." Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/ceda847e-af8a-4d09-8d4f-d570bbe54c19.
Full textKuntz, Romain. "Medium Access Control Facing the Dynamics of Wireless Sensor Networks." Phd thesis, Université de Strasbourg, 2010. http://tel.archives-ouvertes.fr/tel-00521389.
Full textHe, Jing S. "Connected Dominating Set Based Topology Control in Wireless Sensor Networks." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/cs_diss/70.
Full textGarcía, Manuel, and Francisco Javier Chicharro. "Simulator Oriented Control of Power in Bluetooth Wireless Sensor Networks." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-7461.
Full textCreate our own simulator much more oriented to Bluetooth networks, we will program the simulator in Java language and a graphical environment through Java. Fully modular and open so it can be expanded with more tools that we could develop. Initially the simulator will not work with all the specifications of Bluetooth, we will focus on the Bluetooth 2.0+EDR version. It will be only a demo version with several features working properly.
Li, Hengguang. "Medium access control for wireless sensor networks using aerial platforms." Thesis, University of York, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519846.
Full textKuntz, Romain. "Medium access control facing the dvnamics of wireless sensor networks." Strasbourg, 2010. https://publication-theses.unistra.fr/public/theses_doctorat/2010/KUNTZ_Romain_2010.pdf.
Full textA WSN consists in spatially distributed autonomous and embedded devices that cooperatively monitor physical or environmental conditions in a less intrusive fashion. The data collected by each sensor node (such as temperature, vibrations, sounds, movements etc. ) are reported to a sink station in a hop-by-hop fashion using wireless transmissions. In the last decade, the challenges raised by WSN have naturally attracted the interest of the research community. Especially, signicant improvements to the communication stack of the sensor node have been proposed in order to tackle the energy, computation and memory constraints induced by the use of embedded devices. A number of successful deployments already denotes the growing interest in this technology. Recent advances in embedded systems and communication protocols have stimulated the elaboration of more complex use cases. They target dense and dynamic networks with the use of mobile sensors or multiple data collection schemes. For example, mobility in WSN can be employed to extend the network coverage and connectivity, as well as improve the routing performances. However, these new scenarios raise novel challenges when designing communication protocols. The work presented in this thesis focuses on the issues raised at the MAC layer when confronted to dynamic WSN. We have rst studied the impact of mobility and dened two new MAC protocols (Machiavel and X-Machiavel) which improve the medium access of mobile sensor nodes in dense networks. Our second contribution is an auto-adaptive algorithm for preamble sampling protocols. It aims at minimizing the global energy consumption in networks with antagonist trafic patterns by obtaining an optimal configuration on each node. This mechanism is especially energy-efficient during burst transmissions that could occur in such dynamic networks
Guennoun, Mouhcine. "Semi-Persistent Medium Access Control Protocols for Wireless Sensor Networks." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31769.
Full textLima, Coutinho Rodolfo Wanderson. "Topology Control and Opportunistic Routing in Underwater Acoustic Sensor Networks." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35957.
Full textJavali, Nagesh. "Topology control for wireless ad-hoc networks." Click here for download, 2008. http://proquest.umi.com/pqdweb?did=1580780361&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
Full text"This research work is funded in part by National Science Foundation (NSF), Computing and Communication Foundation (CCF) award 0728909"--P. iii. Computer Science Dept. Includes bibliographical references.
Al-Anbagi, Irfan. "Quality of Service for Wireless Sensor Networks in Smart Grid Applications." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26186.
Full textWANG, YUN. "Application-Specific Quality of Service Constraint Design in Wireless Sensor Networks." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1217598398.
Full textDobslaw, Felix. "End-to-End Quality of Service Guarantees for Wireless Sensor Networks." Doctoral thesis, Mittuniversitetet, Avdelningen för data- och systemvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26289.
Full textVid tidpunkten för disputationen var följande delarbeten opublicerade: delarbete 4 (manuskript inskickat för granskning), delarbete 5 (manuskript inskickat för granskning)
At the time of the doctoral defence the following papers were unpublished: paper 4 (manuscript under review), paper 5 (manuscript under review)