Chen | Randomly Deployed Wireless Sensor Networks | E-Book | sack.de
E-Book

E-Book, Englisch, 134 Seiten

Chen Randomly Deployed Wireless Sensor Networks


1. Auflage 2020
ISBN: 978-0-12-822771-8
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, 134 Seiten

ISBN: 978-0-12-822771-8
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark



Wireless sensor networks have a range of applications, including military uses and in environmental monitoring. When an area of interest is inaccessible by conventional means, such a network can be deployed in ways resulting in a random distribution of the sensors. Randomly Deployed Wireless Sensor Networks offers a probabilistic method to model and analyze these networks. The book considers the network design, coverage, target detection, localization and tracking of sensors in randomly deployed wireless networks, and proposes a stochastic model. It quantifies the relationship between parameters of the network and its performance, and puts forward a communication protocol. The title provides analyses and formulas, giving engineering insight into randomly deployed wireless sensor networks. Five chapters consider the analysis of coverage performance; working modes and scheduling mechanisms; the relationship between sensor behavior and network performance properties; probabilistic forwarding routing protocols; localization methods for multiple targets and target number estimation; and experiments on target localization and tracking with a Mica sensor system. - Details a probabilistic method to model and analyze randomly deployed wireless sensor networks - Gives working modes and scheduling mechanisms for sensor nodes, allowing high-probability of target detection - Considers the relationship between sensor behaviour and network performance and lifetime - Offers probabilistic forwarding routing protocols for randomly deployed wireless sensor networks - Describes a method for localizing multiple targets and estimating their number

Xi Chen is Associate Professor in the Department of Automation at Tsinghua University in China. She received her PhD from the Chinese University of Hong Kong. Her research focuses on stochastic control and optimisation, the Markov decision process, wireless sensor networks, and evolutionary computing. Currently, she plays a leading role in the Department of Automation, working on wireless sensor networks. She has published over 50 papers, and four books.

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