Unmanned Aerial Vehicles for Internet of Things (IoT) - Concepts, Techniques, and Applications
Unmanned aerial vehicles (UAVs) has become one of the rapidly growing areas of technology, with widespread applications covering various domains. UAVs play a very important role in delivering Internet of Things (IoT) services in small and low-power devices such as sensors, cameras, GPS receivers, et...
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Main Authors | , , , |
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Format | eBook Book |
Language | English |
Published |
Hoboken, NJ ; Beverly, MA
John Wiley & Sons
2021
John Wiley & Sons, Inc. : Scrivener Publishing LLC John Wiley & Sons, Incorporated Wiley-Blackwell |
Edition | 1 |
Subjects | |
Online Access | Get full text |
ISBN | 9781119768821 1119768829 |
DOI | 10.1002/9781119769170 |
Cover
Table of Contents:
- Title Page Preface Table of Contents 1. Unmanned Aerial Vehicle (UAV): A Comprehensive Survey 2. Unmanned Aerial Vehicles: State-of-the-Art, Challenges and Future Scope 3. Battery and Energy Management in UAV-Based Networks 4. Energy Efficient Communication Methods for Unmanned Ariel Vehicles (UAVs): Last Five Years' Study 5. A Review on Challenges and Threats to Unmanned Aerial Vehicles (UAVs) 6. Internet of Things and UAV: An Interoperability Perspective 7. Practices of Unmanned Aerial Vehicle (UAV) for Security Intelligence 8. Blockchain-Based Solutions for Various Security Issues in UAV-Enabled IoT 9. Efficient Energy Management Systems in UAV-Based IoT Networks 10. A Survey on IoE-Enabled Unmanned Aerial Vehicles 11. Role of AI and Big Data Analytics in UAV-Enabled IoT Applications for Smart Cities 12. Design and Development of Modular and Multifunctional UAV with Amphibious Landing, Processing and Surround Sense Module 13. Mind-Controlled Unmanned Aerial Vehicle (UAV) Using Brain-Computer Interface (BCI) 14. Precision Agriculture with Technologies for Smart Farming Towards Agriculture 5.0 15. IoT-Based UAV Platform Revolutionized in Smart Healthcare Index
- 15 IoT-Based UAV Platform Revolutionized in Smart Healthcare
- 6.2.1 Issues, Controversies, and Problems -- 6.3 Internet of Things (IoT) and UAV -- 6.4 Applications of UAV-Enabled IoT -- 6.5 Research Issues in UAV-Enabled IoT -- 6.6 High-Level UAV-Based IoT Architecture -- 6.6.1 UAV Overview -- 6.6.2 Enabling IoT Scalability -- 6.6.3 Enabling IoT Intelligence -- 6.6.4 Enabling Diverse IoT Applications -- 6.7 Interoperability Issues in UAV-Based IoT -- 6.8 Conclusion -- References -- 7 Practices of Unmanned Aerial Vehicle (UAV) for Security Intelligence -- 7.1 Introduction -- 7.2 Military -- 7.3 Attack -- 7.4 Journalism -- 7.5 Search and Rescue -- 7.6 Disaster Relief -- 7.7 Conclusion -- References -- 8 Blockchain-Based Solutions for Various Security Issues in UAV-Enabled IoT -- 8.1 Introduction -- 8.1.1 Organization of the Work -- 8.2 Introduction to UAV and IoT -- 8.2.1 UAV -- 8.2.2 IoT -- 8.2.3 UAV-Enabled IoT -- 8.2.4 Blockchain -- 8.3 Security and Privacy Issues in UAV-Enabled IoT -- 8.4 Blockchain-Based Solutions to Various Security Issues -- 8.5 Research Directions -- 8.6 Conclusion -- 8.7 Future Work -- References -- 9 Efficient Energy Management Systems in UAV-Based IoT Networks -- 9.1 Introduction -- 9.2 Energy Harvesting Methods -- 9.2.1 Basic Energy Harvesting Mechanisms -- 9.2.2 Markov Decision Process-Based Energy Harvesting Mechanisms -- 9.2.3 mm Wave Energy Harvesting Mechanism -- 9.2.4 Full Duplex Wireless Energy Harvesting Mechanism -- 9.3 Energy Recharge Methods -- 9.4 Efficient Energy Utilization Methods -- 9.4.1 GLRM Method -- 9.4.2 DRL Mechanism -- 9.4.3 Onboard Double Q-Learning Mechanism -- 9.4.4 Collision-Free Scheduling Mechanism -- 9.5 Conclusion -- References -- 10 A Survey on IoE-Enabled Unmanned Aerial Vehicles -- 10.1 Introduction -- 10.2 Overview of Internet of Everything -- 10.2.1 Emergence of IoE -- 10.2.2 Expectation of IoE -- 10.2.3 Possible Technologies
- Cover -- Half-Title Page -- Series Page -- Title Page -- Contents -- Preface -- 1 Unmanned Aerial Vehicle (UAV): A Comprehensive Survey -- 1.1 Introduction -- 1.2 Related Work -- 1.3 UAV Technology -- 1.3.1 UAV Platforms -- 1.3.2 Categories of the Military Drones -- 1.3.3 How Drones Work -- 1.3.4 Comparison of Various Technologies -- 1.3.5 UAV Communication Network -- 1.4 Application of UAV -- 1.4.1 In Military -- 1.4.2 In Geomorphological Mapping and Other Similar Sectors -- 1.4.3 In Agriculture -- 1.5 UAV Challenges -- 1.6 Conclusion and Future Scope -- References -- 2 Unmanned Aerial Vehicles: State-ofthe Art, Challenges and Future Scope -- 2.1 Introduction -- 2.2 Technical Challenges -- 2.2.1 Variations in Channel Characteristics -- 2.2.2 UAV-Assisted Cellular Network Planning and Provisioning -- 2.2.3 Millimeter Wave Cellular Connected UAVs -- 2.2.4 Deployment of UAV -- 2.2.5 Trajectory Optimization -- 2.2.6 On-Board Energy -- 2.3 Conclusion -- References -- 3 Battery and Energy Management in UAV-Based Networks -- 3.1 Introduction -- 3.2 The Need for Energy Management in UAV-Based Communication Networks -- 3.2.1 Unpredictable Trajectories of UAVs in Cellular UAV Networks -- 3.2.2 Non-Homogeneous Power Consumption -- 3.2.3 High Bandwidth Requirement/Low Spectrum Availability/Spectrum Scarcity -- 3.2.4 Short-Range Line-of-Sight Communication -- 3.2.5 Time Constraint (Time-Limited Spectrum Access) -- 3.2.6 Energy Constraint -- 3.2.7 The Joint Design for the Sensor Nodes' Wake-Up Schedule and the UAV's Trajectory (Data Collection) -- 3.3 Efficient Battery and Energy Management Proposed Techniques in Literature -- 3.3.1 Cognitive Radio (CR)-Based UAV Communication to Solve Spectrum Congestion -- 3.3.2 Compressed Sensing -- 3.3.3 Power Allocation and Position Optimization -- 3.3.4 Non-Orthogonal Multiple Access (NOMA)
- 10.2.4 Challenges of IoE -- 10.3 Overview of Unmanned Aerial Vehicle (UAV) -- 10.3.1 Unmanned Aircraft System (UAS) -- 10.3.2 UAV Communication Networks -- 10.4 UAV and IoE Integration -- 10.4.1 Possibilities to Carry UAVs -- 10.4.2 UAV-Enabled IoE -- 10.4.3 Vehicle Detection Enabled IoE Optimization -- 10.5 Open Research Issues -- 10.6 Discussion -- 10.6.1 Resource Allocation -- 10.6.2 Universal Standard Design -- 10.6.3 Security Mechanism -- 10.7 Conclusion -- References -- 11 Role of AI and Big Data Analytics in UAVEnabled IoT Applications for Smart Cities -- 11.1 Introduction -- 11.1.1 Related Work -- 11.1.2 Contributions -- 11.1.3 Organization of the Work -- 11.2 Overview of UAV-Enabled IoT Systems -- 11.2.1 UAV-Enabled IoT Systems for Smart Cities -- 11.3 Overview of Big Data Analytics -- 11.4 Big Data Analytics Requirements in UAV-Enabled IoT Systems -- 11.4.1 Big Data Analytics in UAV-Enabled IoT Applications -- 11.4.2 Big Data Analytics for Governance of UAV-Enabled IoT Systems -- 11.5 Challenges -- 11.6 Conclusion -- 11.7 Future Work -- References -- 12 Design and Development of Modular and Multifunctional UAV with Amphibious Landing, Processing and Surround Sense Module -- 12.1 Introduction -- 12.2 Existing System -- 12.3 Proposed System -- 12.4 IoT Sensors and Architecture -- 12.4.1 Sensors and Theory -- 12.4.2 Architectures Available -- 12.5 Advantages of the Proposed System -- 12.6 Design -- 12.6.1 System Design -- 12.6.2 Auto-Leveling -- 12.6.3 Amphibious Landing Module -- 12.6.4 Processing Module -- 12.6.5 Surround Sense Module -- 12.7 Results -- 12.8 Conclusion -- 12.9 Future Scope -- References -- 13 Mind-Controlled Unmanned Aerial Vehicle (UAV) Using Brain-Computer Interface (BCI) -- 13.1 Introduction -- 13.1.1 Classification of UAVs -- 13.1.2 Drone Controlling -- 13.2 Mind-Controlled UAV With BCI Technology
- 13.3 Layout and Architecture of BCI Technology -- 13.4 Hardware Components -- 13.4.1 Neurosky Mindwave Headset -- 13.4.2 Microcontroller Board-Arduino -- 13.4.3 A Computer -- 13.4.4 Drone for Quadcopter -- 13.5 Software Components -- 13.5.1 Processing P3 Software -- 13.5.2 Arduino IDE Software -- 13.5.3 ThinkGear Connector -- 13.6 Hardware and Software Integration -- 13.7 Conclusion -- References -- 14 Precision Agriculture With Technologies for Smart Farming Towards Agriculture 5.0 -- 14.1 Introduction -- 14.2 Drone Technology as an Instrument for Increasing Farm Productivity -- 14.3 Mapping and Tracking of Rice Farm Areas With Information and Communication Technology (ICT) and Remote Sensing Technology -- 14.3.1 Methodology and Development of ICT -- 14.4 Strong Intelligence From UAV to the Agricultural Sector -- 14.4.1 Latest Agricultural Drone History -- 14.4.2 The Challenges -- 14.4.3 SAP's Next Wave of Drone Technologies -- 14.4.4 SAP Connected Agriculture -- 14.4.5 Cases of Real-World Use -- 14.5 Drones-Based Sensor Platforms -- 14.5.1 Context and Challenges -- 14.5.2 Stakeholder and End Consumer Benefits -- 14.5.3 The Technology -- 14.6 Jobs of Space Technology in Crop Insurance -- 14.7 The Institutionalization of Drone Imaging Technologies in Agriculture for Disaster Managing Risk -- 14.7.1 A Modern Working -- 14.7.2 Discovering Drone Mapping Technology -- 14.7.3 From Lowland to Uplands, Drone Mapping Technology -- 14.7.4 Institutionalization of Drone Monitoring Systems and Farming Capability -- 14.8 Usage of Internet of Things in Agriculture and Use of Unmanned Aerial Vehicles -- 14.8.1 System and Application Based on UAV-WSN -- 14.8.2 Using a Complex Comprehensive System -- 14.8.3 Benefits Assessment of Conventional System and the UAV-Based System -- 14.9 Conclusion -- References
- 3.3.5 Wireless Charging/Power Transfer (WPT) -- 3.3.6 UAV Trajectory Design Using a Reinforcement Learning Framework in a Decentralized Manner -- 3.3.7 Efficient Deployment and Movement of UAVs -- 3.3.8 3D Position Optimization Mixed With Resource Allocation to Overcome Spectrum Scarcity and Limited Energy Constraint -- 3.3.9 UAV-Enabled WSN: Energy-Efficient Data Collection -- 3.3.10 Trust Management -- 3.3.11 Self-Organization-Based Clustering -- 3.3.12 Bandwidth/Spectrum-Sharing Between UAVs -- 3.3.13 Using Millimeter Wave With SWIPT -- 3.3.14 Energy Harvesting -- 3.4 Conclusion -- References -- 4 Energy Efficient Communication Methods for Unmanned Ariel Vehicles (UAVs): Last Five Years' Study -- 4.1 Introduction -- 4.1.1 Introduction to UAV -- 4.1.2 Communication in UAV -- 4.2 Literature Survey Process -- 4.2.1 Research Questions -- 4.2.2 Information Source -- 4.3 Routing in UAV -- 4.3.1 Communication Methods in UAV -- 4.4 Challenges and Issues -- 4.4.1 Energy Consumption -- 4.4.2 Mobility of Devices -- 4.4.3 Density of UAVs -- 4.4.4 Changes in Topology -- 4.4.5 Propagation Models -- 4.4.6 Security in Routing -- 4.5 Conclusion -- References -- 5 A Review on Challenges and Threats to Unmanned Aerial Vehicles (UAVs) -- 5.1 Introduction -- 5.2 Applications of UAVs and Their Market Opportunity -- 5.2.1 Applications -- 5.2.2 Market Opportunity -- 5.3 Attacks and Solutions to Unmanned Aerial Vehicles (UAVs) -- 5.3.1 Confidentiality Attacks -- 5.3.2 Integrity Attacks -- 5.3.3 Availability Attacks -- 5.3.4 Authenticity Attacks -- 5.4 Research Challenges -- 5.4.1 Security Concerns -- 5.4.2 Safety Concerns -- 5.4.3 Privacy Concerns -- 5.4.4 Scalability Issues -- 5.4.5 Limited Resources -- 5.5 Conclusion -- References -- 6 Internet of Things and UAV: An Interoperability Perspective -- 6.1 Introduction -- 6.2 Background