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Autonomous Navigation and Deployment of UAVs for Communication, Surveillance and Delivery

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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.

Author(s): Chao Huang, Hailong Huang, Andrey V. Savkin
Publisher: Wiley-IEEE Press
Year: 2022

Language: English
Pages: 274
City: Piscataway

Cover
Title Page
Copyright
Contents
Author Biographies
Preface
Chapter 1 Introduction
1.1 Applications of UAVs
1.2 Problems of Autonomous Navigation and Deployment of UAVs
1.3 Overview and Organization of the Book
1.4 Some Other Remarks
References
Chapter 2 Deployment of UAV Base Stations for Wireless Communication Coverage
2.1 Introduction
2.2 Related Work
2.3 UAV‐BS Deployment for Maximizing Coverage
2.3.1 Problem Statement
2.3.2 Proposed Solution
2.3.3 Evaluation
2.4 UAV‐BS Deployment for Maximizing Coverage and Minimizing Interference
2.4.1 System Model and Problem Statement
2.4.2 Proposed Solution
2.4.3 Simulation Results
2.4.3.1 Dataset and Simulation Set‐Up
2.4.3.2 Comparing Approaches
2.4.3.3 Simulation Results
2.5 Voronoi Partitioning‐Based UAV‐BS Deployment
2.5.1 Problem Statement and Main Results
2.5.2 Simulation Results
2.6 Range‐Based UAV‐BS Deployment
2.6.1 Problem Statement and Main Results
2.6.2 Simulation Results
2.7 Summary
References
Chapter 3 Deployment of UAVs for Surveillance of Ground Areas and Targets
3.1 Introduction
3.2 Related Work
3.3 Asymptotically Optimal UAV Deployment for Surveillance of a Flat Ground Area
3.3.1 Problem Statement
3.3.2 Deployment Algorithm
3.3.3 Evaluation
3.4 UAV Deployment for Surveillance of Uneven Ground Areas
3.4.1 Problem Statement
3.4.2 Deployment Algorithm
3.4.3 Evaluation
3.5 2D UAV Deployment for Ground Target Surveillance
3.5.1 Problem Statement
3.5.2 Proposed Solution
3.5.3 Evaluation
3.6 3D UAV Deployment for Ground Target Surveillance
3.6.1 Problem Statement
3.6.2 Proposed Solution
3.6.3 Evaluation
3.7 Summary and Future Research
References
Chapter 4 Autonomous Navigation of UAVs for Surveillance of Ground Areas and Targets
4.1 Introduction
4.2 Related Work
4.3 Asymptotically Optimal Path Planning for Surveillance of Ground Areas
4.3.1 Problem Statement
4.3.2 Path Planning Algorithm
4.3.3 Simulation Results
4.4 Navigation of UAVs for Surveillance of a Moving Ground Area
4.4.1 Problem Statement
4.4.2 Navigation Law
4.4.2.1 Available Measurements
4.4.3 Simulation Results
4.5 Navigation of UAVs for Surveillance of Moving Targets on a Road Segment
4.5.1 Problem Statement
4.5.2 Proposal Solution
4.5.2.1 Monitoring Mode
4.5.2.2 Initial Mode
4.5.2.3 Searching Mode
4.5.2.4 Accumulating Mode
4.5.3 Simulation Results
4.6 Navigation of UAVs for Surveillance of Moving Targets along a Road
4.6.1 Problem Statement
4.6.2 Navigation Algorithm
4.6.3 Simulation Results
4.7 Navigation of UAVs for Surveillance of Groups of Moving Ground Targets
4.7.1 Problem Statement and Proposed Approach
4.7.2 Navigation Method
4.7.3 Simulation Results
4.8 Summary and Future Research
References
Chapter 5 Autonomous UAV Navigation for Covert Video Surveillance
5.1 Introduction
5.2 Related Work
5.3 Optimization‐Based Navigation
5.3.1 System Model
5.3.2 Problem Statement
5.3.3 Predictive DP Based Trajectory Planning Algorithm
5.3.3.1 Aeronautic Trajectory Refinement
5.3.4 Evaluation
5.4 Biologically Inspired Motion Camouflage‐based Navigation
5.4.1 Problem Statement
5.4.1.1 Available Measurements
5.4.2 Motion Camouflage Guidance Law
5.4.3 Evaluation
5.5 Summary and Future Work
References
Chapter 6 Integration of UAVs and Public Transportation Vehicles for Parcel Delivery
6.1 Introduction
6.2 Related Work
6.3 System Model
6.4 One‐way Path Planning
6.4.1 Problem Statement
6.4.2 Proposed Solution
6.4.2.1 Path Traversal Time
6.4.2.2 Reliable Path Construction
6.4.2.3 Energy‐aware Reliable Path
6.4.3 Evaluation
6.5 Round‐trip Path Planning in a Deterministic Network
6.5.1 Deterministic Model
6.5.1.1 Extended Multimodal Network
6.5.2 Problem Statement
6.5.2.1 Shortest UAV Path Problem
6.5.3 Proposed Solution
6.5.3.1 The Dijkstra‐based Algorithm
6.5.3.2 Reliable UAV Path
6.5.3.3 Extended Coverage
6.5.4 Evaluation
6.6 Round‐trip Path Planning in a Stochastic Network
6.6.1 Problem Statement
6.6.2 Proposed Solution
6.6.2.1 Proposed Algorithm
6.6.2.2 Robust Round‐trip Planning Algorithm
6.6.3 Evaluation
6.7 Summary and Future Work
References
Abbreviations
Index
EULA