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      Autonomous navigation and deployment of UAVs for communication, surveillance and delivery

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      https://www.riss.kr/link?id=M16667862

      • 저자
      • 발행사항

        Hoboken : Wiley-IEEE Press, 2022

      • 발행연도

        2022

      • 작성언어

        영어

      • 주제어
      • DDC

        623.7469 판사항(23)

      • ISBN

        9781119870838 (hbk.) :

      • 자료형태

        일반단행본

      • 발행국(도시)

        New Jersey

      • 서명/저자사항

        Autonomous navigation and deployment of UAVs for communication, surveillance and delivery / Hailong Huang , Andrey V. Savkin, Chao Huang.

      • 형태사항

        xii, 260 pages : illustrations ; 25cm

      • 일반주기명

        Includes bibliographical references and index.

      • 소장기관
        • 동국대학교 중앙도서관 소장기관정보
        • 한국항공대학교 도서관 소장기관정보
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      부가정보

      목차 (Table of Contents)

      • 자료제공 : aladin
      • 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 Introduction 159 5.2 Related Work 160 5.3 Optimization-Based Navigation 162 5.3.1 System Model 162 5.3.2 Problem Statement 165 5.3.3 Predictive DP Based Trajectory Planning Algorithm 166 5.3.3.1 Aeronautic Trajectory Refinement 169 5.3.4 Evaluation 174 5.4 Biologically Inspired Motion Camouflage-based Navigation 181 5.4.1 Problem Statement 182 5.4.1.1 Available Measurements 182 5.4.2 Motion Camouflage Guidance Law 183 5.4.3 Evaluation 185 5.5 Summary and Future Work 188 References 189 6 Integration of UAVs and Public Transportation Vehicles for Parcel Delivery 195 6.1 Introduction 195 6.2 Related Work 199 6.3 System Model 203 6.4 One-way Path Planning 204 6.4.1 Problem Statement 204 6.4.2 Proposed Solution 207 6.4.2.1 Path Traversal Time 207 6.4.2.2 Reliable Path Construction 210 6.4.2.3 Energy-aware Reliable Path 213 6.4.3 Evaluation 215 6.5 Round-trip Path Planning in a Deterministic Network 218 6.5.1 Deterministic Model 218 6.5.1.1 Extended Multimodal Network 220 6.5.2 Problem Statement 222 6.5.2.1 Shortest UAV Path Problem 222 6.5.3 Proposed Solution 223 6.5.3.1 The Dijkstra-based Algorithm 223 6.5.3.2 Reliable UAV Path 225 6.5.3.3 Extended Coverage 228 6.5.4 Evaluation 228 6.6 Round-trip Path Planning in a Stochastic Network 232 6.6.1 Problem Statement 233 6.6.2 Proposed Solution 235 6.6.2.1 Proposed Algorithm 235 6.6.2.2 Robust Round-trip Planning Algorithm 240 6.6.3 Evaluation 243 6.7 Summary and Future Work 246 References 246 Abbreviations 252 Index 253
      • 자료제공 : aladin
      • 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 Introduction 159 5.2 Related Work 160 5.3 Optimization-Based Navigation 162 5.3.1 System Model 162 5.3.2 Problem Statement 165 5.3.3 Predictive DP Based Trajectory Planning Algorithm 166 5.3.3.1 Aeronautic Trajectory Refinement 169 5.3.4 Evaluation 174 5.4 Biologically Inspired Motion Camouflage-based Navigation 181 5.4.1 Problem Statement 182 5.4.1.1 Available Measurements 182 5.4.2 Motion Camouflage Guidance Law 183 5.4.3 Evaluation 185 5.5 Summary and Future Work 188 References 189 6 Integration of UAVs and Public Transportation Vehicles for Parcel Delivery 195 6.1 Introduction 195 6.2 Related Work 199 6.3 System Model 203 6.4 One-way Path Planning 204 6.4.1 Problem Statement 204 6.4.2 Proposed Solution 207 6.4.2.1 Path Traversal Time 207 6.4.2.2 Reliable Path Construction 210 6.4.2.3 Energy-aware Reliable Path 213 6.4.3 Evaluation 215 6.5 Round-trip Path Planning in a Deterministic Network 218 6.5.1 Deterministic Model 218 6.5.1.1 Extended Multimodal Network 220 6.5.2 Problem Statement 222 6.5.2.1 Shortest UAV Path Problem 222 6.5.3 Proposed Solution 223 6.5.3.1 The Dijkstra-based Algorithm 223 6.5.3.2 Reliable UAV Path 225 6.5.3.3 Extended Coverage 228 6.5.4 Evaluation 228 6.6 Round-trip Path Planning in a Stochastic Network 232 6.6.1 Problem Statement 233 6.6.2 Proposed Solution 235 6.6.2.1 Proposed Algorithm 235 6.6.2.2 Robust Round-trip Planning Algorithm 240 6.6.3 Evaluation 243 6.7 Summary and Future Work 246 References 246 Abbreviations 252 Index 253
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