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Elsevier

Randomly Deployed Wireless Sensor Networks

  • 1st Edition - June 18, 2020
  • Latest edition
  • Author: Xi Chen
  • Language: English

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, su… Read more

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Description

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.

Key features

  • 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

Readership

Researchers, academics, practicing engineers, and advanced students working on wireless sensor networks

Table of contents

Chapter 1: introduction1.1 Summary of wireless sensor networks1.2 Research topics in wireless sensor networks1.3 Applications of wireless sensor networks1.4 Outline of the bookChapter 2: Coverage in wireless sensor networks2.1 Coverage in WSNs: Elements2.2 Coverage in WSNs: Research status2.3 Coverage in WSNs: ChallengesChapter 3: Coverage performance in randomly distributed WSNs3.1 Point Coverage in homogeneous networks3.2 Point Coverage in heterogeneous networks3.3 Simulation experiments3.4 ConclusionChapter 4: Percentage Coverage deployment4.1 Percentage Coverage deployment with localization4.2 Percentage Coverage deployment without localization4.3 ConclusionChapter 5: Dynamic target detection5.1 State switching scheme for sensors5.2 Analysis of detection probability5.3 Optimization5.4 Application example5.5 ConclusionChapter 6: Stochastic model of wireless sensor networks6.1 Model description6.2 Stochastic scheduling6.3 Stochastic scheduling with node failure rate6.4 Performance improvement6.5 ConclusionChapter 7: Probabilistic Forwarding (ProFor) routing protocol7.1 Routing protocol7.2 Model of ProFor7.3 Network simulator ns2 and Simulation of ProFor7.4 Simulation results and analysis7.5 ConclusionChapter 8: Extension for ProFor routing protocol8.1 ProFor with packet loss rate8.2 Packet merge8.3 Nodes energy cost for ProFor8.4 Node’s state switch and multiple bases8.5 ConclusionChapter 9: Energy-based Multiple targets localization9.1 Target localization and tracking: Research status9.2 Multiple targets localization with target number9.3 Estimation of target number9.4 ConclusionChapter 10: Experiment study: target localization10.1 MICA system10.2 common methods for target localization10.3 Experiment results10.4 Conclusion

Product details

  • Edition: 1
  • Latest edition
  • Published: June 18, 2020
  • Language: English

About the author

XC

Xi Chen

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.
Affiliations and expertise
Associate Professor, Department of Automation, Tsinghua University, Tsinghua, China

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