{"product_id":"artificial-intelligence-for-unmanned-aerial-vehicles-sensing-communication-and-computing-hardback-9781394369454","title":"Artificial Intelligence for Unmanned Aerial Vehicles; Sensing, Communication, and Computing (Hardback) 9781394369454","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Intelligence for Unmanned Aerial Vehicles\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eSensing, Communication, and Computing\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eShuyan Hu (Author), Xin Yuan (Author), Kai Li (Author), Wei Ni (Author), Xin Wang (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394369454, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 13 January 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e416 pages\u003cbr\u003e28 x 19 x 2.8 cm, 0.794 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eIn-depth exploration of machine learning techniques applied to UAV operations and communications, highlighting areas of potential growth and research gaps\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eArtificial Intelligence for Unmanned Aerial Vehicles\u003c\/i\u003e provides a comprehensive overview of machine learning (ML) techniques used in unmanned aerial vehicle (UAV) operations, communications, sensing, and computing. It emphasizes key components of UAV activity to which ML can significantly contribute including perception and feature extraction, feature interpretation and regeneration, trajectory and mission planning, and aerodynamic control and operation. \u003c\/p\u003e\n\u003cp\u003eThe book considers the notion of security in the UAV network primarily in terms of its underlying rationale. This book also includes a detailed analysis of UAV behavior with respect to time and explores online machine learning-based solutions for UAV-assisted IoT networks. \u003c\/p\u003e\n\u003cp\u003eAdditional topics include: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eJoint cruise control and data collection\u003c\/li\u003e\n\u003cli\u003eResilience in an AI-aided UAV network against multiple attacks, introducing a flexible and adaptive threshold to alleviate malicious conduct\u003c\/li\u003e\n\u003cli\u003eQuantification of influencing attributes, quantification of weights affiliated with these attributes, and movement tracking of malicious UAVs\u003c\/li\u003e\n\u003cli\u003eIntegration of contextual information, threshold definitions, and time-variant behavior analysis\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eArtificial Intelligence for Unmanned Aerial Vehicles\u003c\/i\u003e is an essential up-to-date reference on the subject for researchers, professors, graduate and senior undergraduate students, and industry professionals in the field.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eList of Figures xi\u003cbr\u003eList of Tables xxi\u003cbr\u003eAbout the Authors xxiii\u003cbr\u003ePreface xxvii\u003cbr\u003eAcronyms xxix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Introduction \u003c\/b\u003e1\u003cbr\u003e1.1 UAV Applications 1\u003cbr\u003e1.2 Sensing, Communication, and Computing of UAVs 2\u003cbr\u003e1.3 Mobility Models of UAVs 4\u003cbr\u003e1.4 UAVs Powered with AI 4\u003cbr\u003e1.5 Book Contributions 6\u003cbr\u003e1.6 Book Outline 8\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Capacity and Connectivity of UAVs in Three-dimensional Spaces \u003c\/b\u003e11\u003cbr\u003e2.1 Introduction 11\u003cbr\u003e2.2 System Model and Performance Metrics 13\u003cbr\u003e2.3 Analysis of UAVs with Random Trajectories 20\u003cbr\u003e2.4 Network Densification and Relay 29\u003cbr\u003e2.5 Instantaneous Outage Probability of UAVs Under Ground Interference 31\u003cbr\u003e2.6 Ergodic Outage Probability of UAVs Under Ground Interference 36\u003cbr\u003e2.7 Ergodic Outage Probability of UAVs Without Ground Interference 39\u003cbr\u003e2.8 Numerical Evaluation 40\u003cbr\u003e2.9 Impact of Imperfect CSI at UAV Receiver 44\u003cbr\u003e2.10 Conclusion 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Secrecy Risks Posed by Individual UAV Adversary \u003c\/b\u003e53\u003cbr\u003e3.1 Introduction 53\u003cbr\u003e3.2 System Model 56\u003cbr\u003e3.3 Achievable Secrecy Rate Under Aerial Eavesdropper 61\u003cbr\u003e3.4 Numerical and Simulation Results 67\u003cbr\u003e3.5 Conclusion 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Secrecy Risks Posed by Cooperative UAV Adversaries \u003c\/b\u003e77\u003cbr\u003e4.1 Ergodic and ;;-Outage Secrecy Capacity Against Cooperative Aerial Eavesdroppers 77\u003cbr\u003e4.2 Secrecy Under Imperfect Oscillator and Finite Memory of Eavesdroppers 85\u003cbr\u003e4.3 Numerical and Simulation Results 89\u003cbr\u003e4.4 Discussion on AI Techniques and Noncooperative Eavesdroppers 95\u003cbr\u003e4.5 Conclusion 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Joint Cruise Control and Data Collection of UAVs \u003c\/b\u003e99\u003cbr\u003e5.1 Introduction 99\u003cbr\u003e5.2 Existing Techniques 102\u003cbr\u003e5.3 System Model 104\u003cbr\u003e5.4 Joint Optimization of Cruise Control and Task Offloading 106\u003cbr\u003e5.5 Combinatorial GNN-enabled DRL 108\u003cbr\u003e5.6 Implementation and Performance Evaluation 112\u003cbr\u003e5.7 Conclusion 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Radio and Video Surveillance with UAVs \u003c\/b\u003e119\u003cbr\u003e6.1 Introduction 119\u003cbr\u003e6.2 System Model 122\u003cbr\u003e6.3 Trajectory and Power Optimization for Rotary-wing UAV 129\u003cbr\u003e6.4 Trajectory and Power Optimization for Fixed-wing UAV 140\u003cbr\u003e6.5 Numerical Results 144\u003cbr\u003e6.6 Authentication Management of UAVs 168\u003cbr\u003e6.7 Conclusion 169\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Energy Efficiency for UAV-based Radio Sensing and Monitoring \u003c\/b\u003e171\u003cbr\u003e7.1 Introduction 171\u003cbr\u003e7.2 System Models 174\u003cbr\u003e7.3 Legitimate Eavesdropping with Jamming 178\u003cbr\u003e7.4 Energy Management for Solar-powered UAV 186\u003cbr\u003e7.5 Numerical Results 193\u003cbr\u003e7.6 Conclusion 200\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Joint Sensing and Communications with UAVs \u003c\/b\u003e201\u003cbr\u003e8.1 Introduction 201\u003cbr\u003e8.2 System Model 207\u003cbr\u003e8.3 UAV-assisted JCAS 213\u003cbr\u003e8.4 Problem Formulation and DDPG-based Solution for Visual-based UAV 219\u003cbr\u003e8.5 Simulation and Experiment 229\u003cbr\u003e8.6 Conclusion 251\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Reconfigurable Intelligent Surface-assisted UAVs \u003c\/b\u003e253\u003cbr\u003e9.1 Introduction 253\u003cbr\u003e9.2 DRL-driven RIS-assisted Radio Surveillance 256\u003cbr\u003e9.3 RIS-assisted Jamming Rejection for UAV-borne IoT 272\u003cbr\u003e9.4 Performance Evaluation 281\u003cbr\u003e9.5 Conclusion 298\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Conclusion and Future Work \u003c\/b\u003e301\u003c\/p\u003e \u003cp\u003eA Appendix of Chapter 2 303\u003c\/p\u003e \u003cp\u003eB Appendix of Chapter 3 307\u003c\/p\u003e \u003cp\u003eC Appendix of Chapter 4 321\u003c\/p\u003e \u003cp\u003eBibliography 337\u003c\/p\u003e \u003cp\u003eIndex 367\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" 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