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.
1. Chapter 1: Introduction - p. 1 2. Chapter 2: Point coverage analysis - p. 15 3. Chapter 3: Percentage coverage schemes - p. 35 4. Chapter 4: Dynamic target detection - p. 53 5. Chapter 5: Probabilistic forwarding protocols - p. 67 6. Chapter 6: Stochastic scheduling algorithms - p. 89 7. Chapter 7: Energy-based multisource localization - p. 103 8. Index - p. 123
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.
1. Chapter 1: Introduction - p. 1 2. Chapter 2: Point coverage analysis - p. 15 3. Chapter 3: Percentage coverage schemes - p. 35 4. Chapter 4: Dynamic target detection - p. 53 5. Chapter 5: Probabilistic forwarding protocols - p. 67 6. Chapter 6: Stochastic scheduling algorithms - p. 89 7. Chapter 7: Energy-based multisource localization - p. 103 8. Index - p. 123
