Autonomous Navigation and Deployment of Uavs for Communication, - Surveillance and Deliver

Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery
 
Authoritative resource offering coverage of communication, surveillance, and delivery problems for teams of unmanned aerial vehicles (UAVs)
 
Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery studies various elements of deployment of networks of unmanned aerial vehicle (UAV) base stations for providing communication to ground users in disaster areas, covering problems like ground traffic monitoring, surveillance of environmental disaster areas (e.g. brush fires), using UAVs in rescue missions, converting UAV video surveillance, and more. The work combines practical problems, implementable and computationally efficient algorithms to solve these problems, and mathematically rigorous proofs of each algorithm's convergence and performance.
 
One such example provided by the authors is a novel biologically inspired motion camouflage algorithm to covert video surveillance of moving targets by an unmanned aerial vehicle (UAV). All autonomous navigation and deployment algorithms developed in the book are computationally efficient, easily implementable in engineering practice, and based only on limited information on other UAVs of each and the environment.
 
Sample topics discussed in the work include:
* Deployment of UAV base stations for communication, especially with regards to maximizing coverage and minimizing interference
* Deployment of UAVs for surveillance of ground areas and targets, including surveillance of both flat and uneven areas
* Navigation of UAVs for surveillance of moving areas and targets, including disaster areas and ground traffic monitoring
* Autonomous UAV navigation for covert video surveillance, offering extensive coverage of optimization-based navigation
* Integration of UAVs and public transportation vehicles for parcel delivery, covering both one-way and round trips
 
Professionals in navigation and deployment of unmanned aerial vehicles, along with researchers, engineers, scientists in intersecting fields, can use Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery to gain general knowledge on the subject along with practical, precise, and proven algorithms that can be deployed in a myriad of practical situations.

List of contents

Author Biographies ix
 
Preface xi
 
1 Introduction 1
 
1.1 Applications of UAVs 1
 
1.2 Problems of Autonomous Navigation and Deployment of UAVs 2
 
1.3 Overview and Organization of the Book 4
 
1.4 Some Other Remarks 5
 
References 6
 
2 Deployment of UAV Base Stations for Wireless Communication Coverage 11
 
2.1 Introduction 11
 
2.2 Related Work 14
 
2.3 UAV-BS Deployment for Maximizing Coverage 17
 
2.3.1 Problem Statement 17
 
2.3.2 Proposed Solution 19
 
2.3.3 Evaluation 21
 
2.4 UAV-BS Deployment for Maximizing Coverage and Minimizing Interference 24
 
2.4.1 System Model and Problem Statement 24
 
2.4.2 Proposed Solution 27
 
2.4.3 Simulation Results 31
 
2.4.3.1 Dataset and Simulation Set-Up 31
 
2.4.3.2 Comparing Approaches 32
 
2.4.3.3 Simulation Results 32
 
2.5 Voronoi Partitioning-Based UAV-BS Deployment 36
 
2.5.1 Problem Statement and Main Results 36
 
2.5.2 Simulation Results 41
 
2.6 Range-Based UAV-BS Deployment 43
 
2.6.1 Problem Statement and Main Results 43
 
2.6.2 Simulation Results 49
 
2.7 Summary 52
 
References 52
 
3 Deployment of UAVs for Surveillance of Ground Areas and Targets 57
 
3.1 Introduction 57
 
3.2 Related Work 60
 
3.3 Asymptotically Optimal UAV Deployment for Surveillance of a Flat Ground Area 61
 
3.3.1 Problem Statement 61
 
3.3.2 Deployment Algorithm 63
 
3.3.3 Evaluation 67
 
3.4 UAV Deployment for Surveillance of Uneven Ground Areas 71
 
3.4.1 Problem Statement 71
 
3.4.2 Deployment Algorithm 73
 
3.4.3 Evaluation 78
 
3.5 2D UAV Deployment for Ground Target Surveillance 80
 
3.5.1 Problem Statement 80
 
3.5.2 Proposed Solution 82
 
3.5.3 Evaluation 85
 
3.6 3D UAV Deployment for Ground Target Surveillance 87
 
3.6.1 Problem Statement 87
 
3.6.2 Proposed Solution 89
 
3.6.3 Evaluation 95
 
3.7 Summary and Future Research 99
 
References 100
 
4 Autonomous Navigation of UAVs for Surveillance of Ground Areas and Targets 105
 
4.1 Introduction 105
 
4.2 RelatedWork 108
 
4.3 Asymptotically Optimal Path Planning for Surveillance of Ground Areas 110
 
4.3.1 Problem Statement 110
 
4.3.2 Path Planning Algorithm 111
 
4.3.3 Simulation Results 114
 
4.4 Navigation of UAVs for Surveillance of a Moving Ground Area 117
 
4.4.1 Problem Statement 117
 
4.4.2 Navigation Law 119
 
4.4.2.1 Available Measurements 120
 
4.4.3 Simulation Results 122
 
4.5 Navigation of UAVs for Surveillance of Moving Targets on a Road Segment 125
 
4.5.1 Problem Statement 125
 
4.5.2 Proposal Solution 126
 
4.5.2.1 Monitoring Mode 126
 
4.5.2.2 Initial Mode 127
 
4.5.2.3 Searching Mode 128
 
4.5.2.4 Accumulating Mode 129
 
4.5.3 Simulation Results 130
 
4.6 Navigation of UAVs for Surveillance of Moving Targets along a Road 134
 
4.6.1 Problem Statement 134
 
4.6.2 Navigation Algorithm 137
 
4.6.3 Simulation Results 139
 
4.7 Navigation of UAVs for Surveillance of Groups of Moving Ground Targets 142
 
4.7.1 Problem Statement and Proposed Approach 143
 
4.7.2 Navigation Method 146
 
4.7.3 Simulation Results 150
 
4.8 Summary and Future Research 153
 
References 154
 
5 Autonomous UAV Navigation for Covert Video Surveillance 159
 
5.1

About the author

HAILONG HUANG, PhD, is an Assistant Professor at The Hong Kong Polytechnic University, Hong Kong. He is also an Associate Editor for the International Journal of Advanced Robotic Systems. His research interests include multi-robot systems, coverage control; system modeling and simulation.
ANDREY V. SAVKIN, PhD, is a Professor and Head of Systems and Control in the School of Electrical Engineering and Telecommunications at University of New South Wales, Sydney, Australia. He was a co-author of the Wiley title Decentralized Coverage Control Problems for Mobile Robotic Sensor and Actuator Networks (2015).
CHAO HUANG, PhD, is a Research Assistant Professor at The Hong Kong Polytechnic University, Hong Kong. From July 2020 to May 2021, she acted as a Guest Editor for the Spectrum special issue on "Advanced Sensing and Control for Connected and Automated Vehicles".

Product details

• Authors: Chao Huang, Hailong Huang, Hailong (Hong Kong Polytechnic University ( Huang, Hailong Savkin Huang, Huang Chao, Andrey V Savkin, Andrey V. Savkin, Savkin Andrey V.
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 27.10.2022
• EAN: 9781119870838
• ISBN: 978-1-119-87083-8
• No. of pages: 272
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Regelungstechnik, Fernerkundung, Remote sensing, Transportation engineering, Electrical & Electronics Engineering, Elektrotechnik u. Elektronik, Bauingenieur- u. Bauwesen, Civil Engineering & Construction, Control Systems Technology, Verkehrsbau