Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots

Front Cover
Wireless Communication Networks Supported by Autonomous UAVs and Mobile Ground Robots
Copyright
Contents
Preface
1 Introduction
	1.1 Autonomous vehicles in wireless communication networks
	1.2 Overview and organization of the book
	References
2 Survey of approaches for wireless communication networks supported by ground robots
	2.1 Introduction
	2.2 WSNs supported by mobile robots
		2.2.1 Collection
			2.2.1.1 Random mobility
			2.2.1.2 Partially controllable robots
			2.2.1.3 Fully controllable robots
			2.2.1.4 Summary
		2.2.2 Delivery and combination tasks
			2.2.2.1 Nonfully controllable robots
			2.2.2.2 Fully controllable robots
			2.2.2.3 Combination task
		2.2.3 Open issues and future research directions
			2.2.3.1 Discussion
			2.2.3.2 Open issues
	2.3 Concluding remarks
	References
3 Wireless communication networks supported by autonomous UAVs: a survey
	3.1 Introduction
	3.2 UAVs serve humans and WSNs
		3.2.1 Coverage model
			3.2.1.1 Disk coverage
			3.2.1.2 Voronoi cell model
		3.2.2 Connectivity
		3.2.3 Energy consumption
		3.2.4 Coverage optimization
			3.2.4.1 Maximizing the number of covered targets
			3.2.4.2 Minimizing robot–user distance
			3.2.4.3 Minimizing the number of UAVs
			3.2.4.4 Minimizing energy consumption
			3.2.4.5 Other optimization problems
		3.2.5 Summary
	3.3 UAVs collaborating with WSNs
		3.3.1 Localization of UAVs
		3.3.2 Navigation of UAVs
		3.3.3 Summary
	3.4 Discussion and future research directions
		3.4.1 Connectivity consideration
		3.4.2 Optimal deployment in 3D space
		3.4.3 Reactive deployment of UAVs
		3.4.4 Navigation with collision avoidance
		3.4.5 Charging UAVs
		3.4.6 RIS-assisted UAV communication
	3.5 Summary
	References
4 Data collection in wireless sensor networks by ground robots with full freedom
	4.1 Motivation
	4.2 System model and problem statement
	4.3 Shortest viable path planning
	4.4 k-Shortest viable path planning
	4.5 Simulation results
		4.5.1 Performance of SVPP
		4.5.2 Performance of k-SVPP
		4.5.3 Comparison with multihop communication
	4.6 Discussion
		4.6.1 Extension
		4.6.2 Limitation
		4.6.3 Application
	4.7 Summary
	References
5 Data collection in wireless sensor networks by ground robots with fixed trajectories
	5.1 Motivation
	5.2 Network model
	5.3 Routing protocol
		5.3.1 Initial stage
		5.3.2 Collection stage
			5.3.2.1 CH election
			5.3.2.2 CM-CH attachment
			5.3.2.3 CH-CH association
	5.4 Protocol analysis
	5.5 Simulation results
		5.5.1 Parameter impacts
		5.5.2 Comparison with existing work
	5.6 Summary
	References
6 Energy-efficient path planning of a solar-powered UAV for secure communication in the presence of eavesdroppers and no-fly zones
	6.1 Motivation
	6.2 Problem statement
		6.2.1 UAV dynamics
		6.2.2 Harvesting solar energy
		6.2.3 UAV energy consumption
		6.2.4 Securing communication
		6.2.5 Problem statement
	6.3 Navigation law
	6.4 Simulation results
	6.5 Summary
	References
7 Multiobjective path planning of a solar-powered UAV for secure communication in urban environments with eavesdropping avoidance
	7.1 Motivation
		7.1.1 Related work
	7.2 Problem statement
		7.2.1 UAV model
		7.2.2 Energy harvesting and consuming
		7.2.3 No-fly zone
		7.2.4 Line-of-sight
		7.2.5 Secure communication
		7.2.6 Problem statement
	7.3 RRT-based path planning
	7.4 Simulation results
	7.5 Summary
	References
8 Reactive deployment of UAV base stations for providing wireless communication services
	8.1 Motivation
	8.2 Problem statement
	8.3 Proposed solution
		8.3.1 Overview
		8.3.2 Supporting modules
		8.3.3 Movement decision maker
	8.4 Simulation results
	8.5 Conclusion
	References
9 Optimized deployment of UAV base stations for providing wireless communication service in urban environments
	9.1 Motivation
	9.2 System model and problem statement
		9.2.1 Problem difficulty analysis
	9.3 Proposed solution
		9.3.1 The greedy algorithm
		9.3.2 Complexity analysis of the greedy algorithm
	9.4 Performance evaluation
		9.4.1 Simulation setup
		9.4.2 Compared scheme
		9.4.3 Metrics
		9.4.4 Simulation results
			9.4.4.1 Algorithm evaluation
			9.4.4.2 Parameter impacts
	9.5 Summary
	References
10 Energy-efficient path planning of solar-powered UAVs for communicating with mobile ground users in urban environments
	10.1 Motivation
	10.2 Related work
	10.3 System model and problem statement
	10.4 Proposed navigation method
		10.4.1 Lifetime of UAVs
		10.4.2 One UAV and one user
		10.4.3 One UAV and multiple mobile users
		10.4.4 Multiple UAVs and multiple mobile users
	10.5 Simulations
	10.6 Summary
	References
Index
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