Randomly Deployed Wireless Sensor Networks

by Xi Chen

Overview

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.

Product Details

ISBN-13:	9780128196243
Publisher:	Elsevier Science
Publication date:	06/19/2020
Pages:	134
Product dimensions:	7.50(w) x 9.25(h) x (d)

About the Author

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.

Table of Contents

1. Introduction2. Coverage in wireless sensor networks3. Coverage performance in randomly distributed WSNs4. Percentage Coverage deployment5. Dynamic target detection6. Stochastic model of wireless sensor networks7. Probabilistic Forwarding (ProFor) routing protocol8. Extension for ProFor routing protocol9. Energy-based Multiple targets localization10. Experiment study: Target localization

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From the Publisher

Gives a probabilistic technique to model and analyze the sensors in a randomly deployed wireless network, including network design, coverage, target detection, localization, and tracking