Randomly Deployed Wireless Sensor Networks

Contents
Acknowledgments
1 Introduction
	1.1 Overview of WSNs
	1.2 Research topics in WSNs
		Sensing technology
		Low-power-consumption sensor nodes
		Low-cost sensor nodes
		Wireless communication technology
		Communication protocols
		Node localization
		Time synchronization
		Network security
		Application layer protocols
	1.3 Applications of WSNs
		Military applications
		Precision agriculture
		Industrial applications
		Environmental monitoring
		Health monitoring
		Smart city
		Civil engineering
		Other applications
	1.4 Outline of the book
	References
2 Point coverage analysis
	2.1 Coverage in WSNs: elements
		2.1.1 Sensor sensing models
		2.1.2 Coverage formulations
		2.1.3 Deployment approaches
		2.1.4 Scheduling mechanisms
	2.2 Point coverage in homogeneous WSNs
		2.2.1 Point coverage probability
		2.2.2 Complete coverage vs. point coverage
		2.2.3 Analysis of boundary effect
	2.3 Point coverage in heterogeneous WSNs
		2.3.1 Point coverage probability
		2.3.2 Optimization
	2.4 Simulation experiments
		2.4.1 Homogeneous WSNs
		2.4.2 Heterogeneous WSNs
	2.5 Summary
	References
3 Percentage coverage schemes
	3.1 Location-based percentage coverage
		3.1.1 Occupation area
		3.1.2 Percentage coverage configuration protocol
		3.1.3 Simulation and analysis
			Performance test
			Performance comparison: PCCP and CCP
	3.2 Location-free percentage coverage
		3.2.1 Occupation area
		3.2.2 Standing guard protocol
			Description of SGP
			Analysis of SGP performance
		3.2.3 Simulation and analysis
			Performance test
			Performance comparison: SGP and the three schemes in [21]
	3.3 Summary
	References
4 Dynamic target detection
	4.1 State switching scheme
	4.2 Analysis of detection probability
		4.2.1 Detection probability of an individual sensor
		4.2.2 Detection probability with given target's path
		4.2.3 Number of nodes which success in detecting target
	4.3 Performance optimization
		4.3.1 Maximizing detection probability with given network lifetime
		4.3.2 Maximizing network lifetime with budget limit
	4.4 Summary
	References
5 Probabilistic forwarding protocols
	5.1 Probabilistic forwarding (ProFor)
		5.1.1 Model description
			Generating the gradient for each node
		5.1.2 Analysis of relay probability
		5.1.3 Simulation and analysis
	5.2 Enhanced probabilistic forwarding (EnProFor)
		5.2.1 Analysis of relay probability
		5.2.2 Simulation and analysis
	5.3 Analysis of energy consumption
		Relaying by sibling nodes
		Simulation and analysis of the number of relays
		Multiple base stations
		Message priority
	5.4 Summary
	References
6 Stochastic scheduling algorithms
	6.1 Model description
		Upper bound of the lifetime
	6.2 Stochastic scheduling
		6.2.1 Analysis of energy consumption
		6.2.2 Dynamic tuning of working probability
		6.2.3 Performance test
	6.3 Stochastic scheduling considering node failure
		6.3.1 Model of node failure
		6.3.2 Dynamic turning of working probability
	6.4 Performance improvement
		6.4.1 Revised dynamic working probability
		6.4.2 Optimization of the period length
	6.5 Summary
	References
7 Energy-based multisource localization
	7.1 Multisource localization with given source number
		Signal energy observation model
		7.1.1 Localization using maximum likelihood estimation
		7.1.2 Location initialization for localization
			Single source localization
			Multisource location initialization
			Multiresolution search based on source location initialization
		7.1.3 Simulation and analysis
	7.2 Source number estimation
		7.2.1 Estimation based on node selection and clustering
			Node selection
			Node clustering
		7.2.2 Estimation based on minimum description length criterion
			Minimum Description Length criterion (MDL)
			Source parameters estimation with given source number
			Estimation procedure based on minimum description length criterion
		7.2.3 Simulation and analysis
	7.3 Summary
	References
Index