About the Book:
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.
Table of Contents
1: introduction
1.1 Summary of wireless sensor networks
1.2 Research topics in wireless sensor networks
1.3 Applications of wireless sensor networks
2: Coverage in wireless sensor networks
2.1 Coverage in WSNs: Elements
2.2 Coverage in WSNs: Research status
2.3 Coverage in WSNs: Challenges
3: Coverage performance in randomly distributed WSNs
3.1 Point Coverage in homogeneous networks
3.2 Point Coverage in heterogeneous networks
3.3 Simulation experiments
4: Percentage Coverage deployment
4.1 Percentage Coverage deployment with localization
4.2 Percentage Coverage deployment without localization
5: Dynamic target detection
5.1 State switching scheme for sensors
5.2 Analysis of detection probability
5.3 Optimization
5.4 Application example
6: Stochastic model of wireless sensor networks
6.1 Model description
6.2 Stochastic scheduling
6.3 Stochastic scheduling with node failure rate
7: Probabilistic Forwarding (ProFor) routing protocol
7.1 Routing protocol
7.2 Model of ProFor
7.3 Network simulator ns2 and Simulation of ProFor
7.4 Simulation results and analysis
8: Extension for ProFor routing protocol
8.1 ProFor with packet loss rate
8.2 Packet merge
8.3 Nodes energy cost for ProFor
8.4 Node-s state switch and multiple bases
9: Energy-based Multiple targets localization
9.1 Target localization and tracking: Research status
9.2 Multiple targets localization with target number
9.3 Estimation of target number
10: Experiment study: target localization
10.1 MICA system
10.2 common methods for target localization
10.3 Experiment results
10.4 Conclusion
