Modeling And Multi Objective Optimization For Energy Based Target Localization Using Wireless Sensor Networks

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Modeling And Multi Objective Optimization For Energy Based Target Localization Using Wireless Sensor Networks

Modeling And Multi Objective Optimization For Energy Based Target Localization Using Wireless Sensor Networks written by Zhenxing Luo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Wireless sensor networks categories.

This dissertation focuses on energy-based target localization in wireless sensor networks (WSNs). A WSN consists of a fusion center and a large number of sensors. The fusion center localizes a target using a maximum likelihood estimation (MLE) method based on decisions received from sensors whose positions are known. However, several factors may degrade localization performance, including imperfect communication channels, sensor faults, sensor position uncertainty, and sensor sleep. Localization performance may be improved if these factors are accounted for in the MLE framework. In this dissertation, models were developed that describe how localization performance is affected by imperfect communication channels, multi-hop communication channels, sensor position uncertainty, sensor faults, and sensor sleep. These models were incorporated into the MLE framework either simultaneously or separately. The Cramer-Rao lower bound on the estimation error (CRLB) was also derived. Simulation results showed that the new MLE methods gave better localization performance in terms of root mean square (RMS) estimation errors than current methods which ignore these factors that degrade localization performance. Moreover, the RMS estimation errors were close to the CRLB. Based on the sensor sleep model, an energy saving strategy was developed in which the sensor sleep probability is used to adjust energy consumption of the WSN. However, although the sensor sleep strategy saves energy, sleeping sensors cannot send decisions to the fusion center and missing decisions can degrade localization performance. Therefore, the system design must consider tradeoffs between energy consumption and localization performance. Models of energy consumption and localization performance were developed for one-dimensional and two-dimensional sensor arrays. These models were used in a multi-objective optimization method that balances energy consumption and localization performance. The Pareto-fronts generated by the multi-objective optimization method allow the system designer to make tradeoffs between energy consumption and localization performance.

Dissertation Abstracts International

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Dissertations, Academic categories.

Mswim 07

Mswim 07 written by Carla-Fabiani Chiasserini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computer science categories.

American Doctoral Dissertations

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International Aerospace Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Aeronautics categories.

Rss Aoa Based Target Localization And Tracking In Wireless Sensor Networks

Rss Aoa Based Target Localization And Tracking In Wireless Sensor Networks written by Slavisa Tomic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Science categories.

The desire for precise knowledge about the location of a moving object at any time instant has motivated a great deal of scientific research recently. This is owing to a steady expansion of the range of enabling devices and technologies, as well as the need for seamless solutions for location-based services. Besides localization accuracy, a common requirement for emerging solutions is that they are cost-abstemious, both in terms of the financial and computational cost. Hence, development of localization strategies from already deployed technologies, e.g., from different terrestrial radio frequency sources is of great practical interest. Amongst other, these include localization strategies based on received signal strength (RSS), time of arrival, angle of arrival (AoA) or a combination of them. RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks presents recent advances in developing algorithms for target localization and tracking, reflecting the state-of-the-art algorithms and research achievements in target localization and tracking based on hybrid (RSS-AoA) measurements.Technical topics discussed in the book include:Centralized RSS-AoA-based Target LocalizationDistributed RSS-AoA-based Target LocalizationRSS-AoA-based Target Tracking via Maximum A Posteriori EstimatorRSS-AoA-based Target Tracking via Kalman FilterRSS-AoA-based via Sensor NavigationThis book is of interest for personnel in telecommunications and surveillance industries, military, smart systems, as well as academic staff and postgraduate/research students in telecommunications, signal processing, and non-smooth and convex optimization.

Science Abstracts

Science Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Electrical engineering categories.