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Unmanned Aerial Vehicles for Internet of Things (IoT): Concepts, Techniques, and Applications [Kõva köide]

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  • Formaat: Hardback, 320 pages, kõrgus x laius x paksus: 10x10x10 mm, kaal: 454 g
  • Ilmumisaeg: 24-Aug-2021
  • Kirjastus: Wiley-Scrivener
  • ISBN-10: 1119768829
  • ISBN-13: 9781119768821
Teised raamatud teemal:
Unmanned Aerial Vehicles for Internet of Things (IoT): Concepts, Techniques, and ApplicationsSuurem pilt
  • Formaat: Hardback, 320 pages, kõrgus x laius x paksus: 10x10x10 mm, kaal: 454 g
  • Ilmumisaeg: 24-Aug-2021
  • Kirjastus: Wiley-Scrivener
  • ISBN-10: 1119768829
  • ISBN-13: 9781119768821
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119768821.html
Märksõnad:
UNMANNED AERIAL VEHICLES FOR INTERNET OF THINGS This comprehensive book deeply discusses the theoretical and technical issues of unmanned aerial vehicles for deployment by industries and civil authorities in Internet of Things (IoT) systems.

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, etc. These devices are energy-constrained and are unable to communicate over long distances. The UAVs work dynamically for IoT applications in which they collect data and transmit it to other devices that are out of communication range. Furthermore, the benefits of the UAV include deployment at remote locations, the ability to carry flexible payloads, reprogrammability during tasks, and the ability to sense for anything from anywhere. Using IoT technologies, a UAV may be observed as a terminal device connected with the ubiquitous network, where many other UAVs are communicating, navigating, controlling, and surveilling in real time and beyond line-of-sight.

The aim of the 15 chapters in this book help to realize the full potential of UAVs for the IoT by addressing its numerous concepts, issues and challenges, and develops conceptual and technological solutions for handling them. Applications include such fields as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. In addition, the book covers:





Efficient energy management systems in UAV-based IoT networks IoE enabled UAVs Mind-controlled UAV using Brain-Computer Interface (BCI) The importance of AI in realizing autonomous and intelligent flying IoT Blockchain-based solutions for various security issues in UAV-enabled IoT The challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety.

Audience: Researchers in computer science, Internet of Things (IoT), electronics engineering, as well as industries that use and deploy drones and other unmanned aerial vehicles.
Preface xvii
1 Unmanned Aerial Vehicle (UAV): A Comprehensive Survey
1(28)
Rohit Chaurasia
Vandana Mohindru
1.1 Introduction
2(1)
1.2 Related Work
2(1)
1.3 UAV Technology
3(18)
1.3.1 UAV Platforms
3(1)
1.3.1.1 Fixed-Wing Drones
3(1)
1.3.1.2 Multi-Rotor Drones
4(1)
1.3.1.3 Single-Rotor Drones
5(1)
1.3.1.4 Fixed-Wing Hybrid VTOL
6(1)
1.3.2 Categories of the Military Drones
6(2)
1.3.3 How Drones Work
8(1)
1.3.3.1 Firmware--Platform Construction and Design
9(1)
1.3.4 Comparison of Various Technologies
10(1)
1.3.4.1 Drone Types 8c Sizes
10(1)
1.3.4.2 Radar Positioning and Return to Home
10(1)
1.3.4.3 GNSS on Ground Control Station
11(1)
1.3.4.4 Collision Avoidance Technology and Obstacle Detection
11(1)
1.3.4.5 Gyroscopic Stabilization, Flight Controllers and IMU
12(1)
1.3.4.6 UAV Drone Propulsion System
12(1)
1.3.4.7 Flight Parameters Through Telemetry
13(1)
1.3.4.8 Drone Security & Hacking
13(1)
1.3.4.9 3D Maps and Models With Drone Sensors
13(2)
1.3.5 UAV Communication Network
15(1)
1.3.5.1 Classification on the Basis of Spectrum Perspective
15(1)
1.3.5.2 Various Types of Radiocommunication Links
16(2)
1.3.5.3 VLOS (Visual Line-of-Sight) and BLOS (Beyond Line-of-Sight) Communication in Unmanned Aircraft System
18(1)
1.3.5.4 Frequency Bands for the Operation of UAS
19(1)
1.3.5.5 Cellular Technology for UAS Operation
19(2)
1.4 Application of UAV
21(2)
1.4.1 In Military
21(1)
1.4.2 In Geomorphological Mapping and Other Similar Sectors
22(1)
1.4.3 In Agriculture
22(1)
1.5 UAV Challenges
23(1)
1.6 Conclusion and Future Scope
24(5)
References
24(5)
2 Unmanned Aerial Vehicles: State-of-the-Art, Challenges and Future Scope
29(14)
Jolly Parikh
Anuradha Basu
2.1 Introduction
30(1)
2.2 Technical Challenges
30(7)
2.2.1 Variations in Channel Characteristics
32(1)
2.2.2 UAV-Assisted Cellular Network Planning and Provisioning
33(1)
2.2.3 Millimeter Wave Cellular Connected UAVs
34(1)
2.2.4 Deployment of UAV
35(1)
2.2.5 Trajectory Optimization
36(1)
2.2.6 On-Board Energy
37(1)
2.3 Conclusion
37(6)
References
37(6)
3 Battery and Energy Management in UAV-Based Networks
43(30)
Santosh Kumar
Amol Vasudeva
Manu Sood
3.1 Introduction
43(2)
3.2 The Need for Energy Management in UAV-Based Communication Networks
45(5)
3.2.1 Unpredictable Trajectories of UAVs in Cellular UAV Networks
46(1)
3.2.2 Non-Homogeneous Power Consumption
47(1)
3.2.3 High Bandwidth Requirement/Low Spectrum Availability/Spectrum Scarcity
47(1)
3.2.4 Short-Range Line-of-Sight Communication
48(1)
3.2.5 Time Constraint (Time-Limited Spectrum Access)
48(1)
3.2.6 Energy Constraint
49(1)
3.2.7 The Joint Design for the Sensor Nodes' Wake-Up Schedule and the UAVs Trajectory (Data Collection)
49(1)
3.3 Efficient Battery and Energy Management Proposed Techniques in Literature
50(11)
3.3.1 Cognitive Radio (CR)-Based UAV Communication to Solve Spectrum Congestion
51(1)
3.3.2 Compressed Sensing
52(1)
3.3.3 Power Allocation and Position Optimization
53(1)
3.3.4 Non-Orthogonal Multiple Access (NOMA)
53(1)
3.3.5 Wireless Charging/Power Transfer (WPT)
54(1)
3.3.6 UAV Trajectory Design Using a Reinforcement Learning Framework in a Decentralized Manner
55(1)
3.3.7 Efficient Deployment and Movement of UAVs
55(1)
3.3.8 3D Position Optimization Mixed With Resource Allocation to Overcome Spectrum Scarcity and Limited Energy Constraint
56(1)
3.3.9 UAV-Enabled WSN: Energy-Efficient Data Collection
57(1)
3.3.10 Trust Management
57(1)
3.3.11 Self-Organization-Based Clustering
58(1)
3.3.12 Bandwidth/Spectrum-Sharing Between UAVs
59(1)
3.3.13 Using Millimeter Wave With SWIPT
59(1)
3.3.14 Energy Harvesting
60(1)
3.4 Conclusion
61(12)
References
67(6)
4 Energy Efficient Communication Methods for Unmanned Ariel Vehicles (UAVs): Last Five Years' Study
73(16)
Nagesh Kumar
4.1 Introduction
73(4)
4.1.1 Introduction to UAV
74(1)
4.1.2 Communication in UAV
75(2)
4.2 Literature Survey Process
77(1)
4.2.1 Research Questions
77(1)
4.2.2 Information Source
77(1)
4.3 Routing in UAV
78(4)
4.3.1 Communication Methods in UAV
78(1)
4.3.1.1 Single-Hop Communication
79(1)
4.3.1.2 Multi-Hop Communication
80(2)
4.4 Challenges and Issues
82(3)
4.4.1 Energy Consumption
82(1)
4.4.2 Mobility of Devices
82(1)
4.4.3 Density of UAVs
82(3)
4.4.4 Changes in Topology
85(1)
4.4.5 Propagation Models
85(1)
4.4.6 Security in Routing
85(1)
4.5 Conclusion
85(4)
References
86(3)
5 A Review on Challenges and Threats to Unmanned Aerial Vehicles (UAVs)
89(16)
Shaik Johny Basha
Jagan Mohan Reddy Danda
5.1 Introduction
89(1)
5.2 Applications of UAVs and Their Market Opportunity
90(2)
5.2.1 Applications
90(2)
5.2.2 Market Opportunity
92(1)
5.3 Attacks and Solutions to Unmanned Aerial Vehicles (UAVs)
92(7)
5.3.1 Confidentiality Attacks
93(2)
5.3.2 Integrity Attacks
95(1)
5.3.3 Availability Attacks
96(1)
5.3.4 Authenticity Attacks
97(2)
5.4 Research Challenges
99(2)
5.4.1 Security Concerns
99(1)
5.4.2 Safety Concerns
99(1)
5.4.3 Privacy Concerns
100(1)
5.4.4 Scalability Issues
100(1)
5.4.5 Limited Resources
100(1)
5.5 Conclusion
101(4)
References
101(4)
6 Internet of Things and UAV: An Interoperability Perspective
105(24)
Bharti Rana
Yashwant Singh
6.1 Introduction
106(2)
6.2 Background
108(2)
6.2.1 Issues, Controversies, and Problems
109(1)
6.3 Internet of Things (IoT) and UAV
110(3)
6.4 Applications of UAV-Enabled IoT
113(1)
6.5 Research Issues in UAV-Enabled IoT
114(3)
6.6 High-Level UAV-Based IoT Architecture
117(4)
6.6.1 UAV Overview
117(2)
6.6.2 Enabling IoT Scalability
119(1)
6.6.3 Enabling IoT Intelligence
120(1)
6.6.4 Enabling Diverse IoT Applications
121(1)
6.7 Interoperability Issues in UAV-Based IoT
121(2)
6.8 Conclusion
123(6)
References
124(5)
7 Practices of Unmanned Aerial Vehicle (UAV) for Security Intelligence
129(14)
Swarnjeet Kaur
Kulwant Singh
Amanpreet Singh
7.1 Introduction
130(2)
7.2 Military
132(1)
7.3 Attack
133(1)
7.4 Journalism
134(2)
7.5 Search and Rescue
136(2)
7.6 Disaster Relief
138(1)
7.7 Conclusion
139(4)
References
139(4)
8 Blockchain-Based Solutions for Various Security Issues in UAV-Enabled IoT
143(16)
Madhuri S. Wakode
Rajesh B. Ingle
8.1 Introduction
144(1)
8.1.1 Organization of the Work
145(1)
8.2 Introduction to UAV and IoT
145(6)
8.2.1 UAV
145(1)
8.2.2 IoT
146(1)
8.2.3 UAV-Enabled IoT
147(3)
8.2.4 Blockchain
150(1)
8.3 Security and Privacy Issues in UAV-Enabled IoT
151(2)
8.4 Blockchain-Based Solutions to Various Security Issues
153(1)
8.5 Research Directions
154(1)
8.6 Conclusion
154(1)
8.7 Future Work
155(4)
References
155(4)
9 Efficient Energy Management Systems in UAV-Based IoT Networks
159(14)
V. Mounika Reddy
Neelima K.
G. Naresh
9.1 Introduction
160(1)
9.2 Energy Harvesting Methods
161(4)
9.2.1 Basic Energy Harvesting Mechanisms
162(1)
9.2.2 Markov Decision Process-Based Energy Harvesting Mechanisms
163(1)
9.2.3 MM Wave Energy Harvesting Mechanism
164(1)
9.2.4 Full Duplex Wireless Energy Harvesting Mechanism
165(1)
9.3 Energy Recharge Methods
165(1)
9.4 Efficient Energy Utilization Methods
166(4)
9.4.1 GLRM Method
166(1)
9.4.2 DRL Mechanism
167(1)
9.4.3 Onboard Double Q-Learning Mechanism
168(1)
9.4.4 Collision-Free Scheduling Mechanism
168(2)
9.5 Conclusion
170(3)
References
170(3)
10 A Survey on IoE-Enabled Unmanned Aerial Vehicles
173(20)
K. Siddharthraju
R. Dhivyadevi
M. Supriya
B. Jaishankar
Shanmugaraja T.
10.1 Introduction
174(2)
10.2 Overview of Internet of Everything
176(6)
10.2.1 Emergence of IoE
176(1)
10.2.2 Expectation of IoE
177(1)
10.2.2.1 Scalability
177(1)
10.2.2.2 Intelligence
178(1)
10.2.2.3 Diversity
178(1)
10.2.3 Possible Technologies
179(1)
10.2.3.1 Enabling Scalability
179(1)
10.2.3.2 Enabling Intelligence
180(1)
10.2.3.3 Enabling Diversity
180(1)
10.2.4 Challenges of IoE
181(1)
10.2.4.1 Coverage Constraint
181(1)
10.2.4.2 Battery Constraint
181(1)
10.2.4.3 Computing Constraint
181(1)
10.2.4.4 Security Constraint
182(1)
10.3 Overview of Unmanned Aerial Vehicle (UAV)
182(2)
10.3.1 Unmanned Aircraft System (UAS)
183(1)
10.3.2 UAV Communication Networks
183(1)
10.3.2.1 Ad Hoc Multi-UAV Networks
183(1)
10.3.2.2 UAV-Aided Communication Networks
184(1)
10.4 UAV and IoE Integration
184(3)
10.4.1 Possibilities to Carry UAVs
184(1)
10.4.1.1 Widespread Connectivity
185(1)
10.4.1.2 Environmentally Aware
185(1)
10.4.1.3 Peer-Maintenance of Communications
185(1)
10.4.1.4 Detector Control and Reusing
185(1)
10.4.2 UAV-Enabled IoE
186(1)
10.4.3 Vehicle Detection Enabled IoE Optimization
186(1)
10.4.3.1 Weak-Connected Locations
186(1)
10.4.3.2 Regions with Low Network Support
186(1)
10.5 Open Research Issues
187(1)
10.6 Discussion
187(2)
10.6.1 Resource Allocation
187(1)
10.6.2 Universal Standard Design
188(1)
10.6.3 Security Mechanism
188(1)
10.7 Conclusion
189(4)
References
189(4)
11 Role of AI and Big Data Analytics in UAV-Enabled IoT Applications for Smart Cities
193(14)
Madhuri S. Wakode
11.1 Introduction
194(2)
11.1.1 Related Work
195(1)
11.1.2 Contributions
195(1)
11.1.3 Organization of the Work
195(1)
11.2 Overview of UAV-Enabled IoT Systems
196(1)
11.2.1 UAV-Enabled IoT Systems for Smart Cities
197(1)
11.3 Overview of Big Data Analytics
197(1)
11.4 Big Data Analytics Requirements in UAV-Enabled IoT Systems
198(4)
11.4.1 Big Data Analytics in UAV-Enabled IoT Applications
199(2)
11.4.2 Big Data Analytics for Governance of UAV-Enabled IoT Systems
201(1)
11.5 Challenges
202(1)
11.6 Conclusion
202(1)
11.7 Future Work
203(4)
References
203(4)
12 Design and Development of Modular and Multifunctional UAV with Amphibious Landing, Processing and Surround Sense Module
207(24)
Lakshit Kohli
Manglesh Saurabh
Ishaan Bhatia
Nidhi Sindhwani
Manjula Vijh
12.1 Introduction
208(1)
12.2 Existing System
208(2)
12.3 Proposed System
210(2)
12.4 IoT Sensors and Architecture
212(5)
12.4.1 Sensors and Theory
212(1)
12.4.2 Architectures Available
213(1)
12.4.2.1 3-Layer IoT Architecture
213(1)
12.4.2.2 5-Layer IoT Architecture
214(1)
12.4.2.3 Architecture 8c Supporting Modules
215(1)
12.4.2.4 Integration Approach
215(1)
12.4.2.5 System of Modules
216(1)
12.5 Advantages of the Proposed System
217(1)
12.6 Design
218(6)
12.6.1 System Design
219(1)
12.6.2 Auto-Leveling
219(2)
12.6.3 Amphibious Landing Module
221(2)
12.6.4 Processing Module
223(1)
12.6.5 Surround Sense Module
223(1)
12.7 Results
224(3)
12.8 Conclusion
227(1)
12.9 Future Scope
228(3)
References
228(3)
13 Mind Controlled Unmanned Aerial Vehicle (UAV) Using Brain-Computer Interface (BCI)
231(16)
Prasath M.S.
Naveen R.
Sivaraj G.
13.1 Introduction
232(1)
13.1.1 Classification of UAVs
232(1)
13.1.2 Drone Controlling
232(1)
13.2 Mind-Controlled UAV With BCI Technology
233(1)
13.3 Layout and Architecture of BCI Technology
234(1)
13.4 Hardware Components
235(4)
13.4.1 Neurosky Mindwave Headset
235(1)
13.4.2 Microcontroller Board--Arduino
236(1)
13.4.3 A Computer
237(1)
13.4.4 Drone for Quadcopter
238(1)
13.5 Software Components
239(2)
13.5.1 Processing P3 Software
239(1)
13.5.2 Arduino IDE Software
240(1)
13.5.3 ThinkGear Connector
240(1)
13.6 Hardware and Software Integration
241(2)
13.7 Conclusion
243(4)
References
244(3)
14 Precision Agriculture With Technologies for Smart Farming Towards Agriculture 5.0
247(30)
Dhirendra Siddharth
Dilip Kumar Saini
Ajay Kumar
14.1 Introduction
247(1)
14.2 Drone Technology as an Instrument for Increasing Farm Productivity
248(1)
14.3 Mapping and Tracking of Rice Farm Areas With Information and Communication Technology (ICT) and Remote Sensing Technology
249(3)
14.3.1 Methodology and Development of ICT
250(2)
14.4 Strong Intelligence From UAV to the Agricultural Sector
252(8)
14.4.1 Latest Agricultural Drone History
252(2)
14.4.2 The Challenges
254(1)
14.4.3 SAP's Next Wave of Drone Technologies
254(2)
14.4.4 SAP Connected Agriculture
256(1)
14.4.5 Cases of Real-World Use
257(1)
14.4.5.1 Crop Surveying
257(1)
14.4.5.2 Capture the Plantation
258(1)
14.4.5.3 Image Processing
258(1)
14.4.5.4 Working to Create GeoTiles and an Image Pyramid
259(1)
14.5 Drones-Based Sensor Platforms
260(3)
14.5.1 Context and Challenges
260(1)
14.5.2 Stakeholder and End Consumer Benefits
261(1)
14.5.3 The Technology
262(1)
14.5.3.1 Provisions of the Unmanned Aerial Vehicles
262(1)
14.6 Jobs of Space Technology in Crop Insurance
263(4)
14.7 The Institutionalization of Drone Imaging Technologies in Agriculture for Disaster Managing Risk
267(3)
14.7.1 A Modern Working
267(1)
14.7.2 Discovering Drone Mapping Technology
268(1)
14.7.3 From Lowland to Uplands, Drone Mapping Technology
269(1)
14.7.4 Institutionalization of Drone Monitoring Systems and Farming Capability
269(1)
14.8 Usage of Internet of Things in Agriculture and Use of Unmanned Aerial Vehicles
270(3)
14.8.1 System and Application Based on UAV-WSN
270(1)
14.8.2 Using a Complex Comprehensive System
271(1)
14.8.3 Benefits Assessment of Conventional System and the UAV-Based System
271(1)
14.8.3.1 Merit
272(1)
14.8.3.2 Saving Expenses
272(1)
14.8.3.3 Traditional Agriculture
273(1)
14.8.3.4 UAV-WSN System-Based Agriculture
273(1)
14.9 Conclusion
273(4)
References
273(4)
15 IoT-Based UAV Platform Revolutionized in Smart Healthcare
277(13)
Umesh Kumar Gera
Dilip Kumar Saint
Preeti Singh
Dhirendra Siddharth
15.1 Introduction
278(1)
15.2 IoT-Based UAV Platform for Emergency Services
279(2)
15.3 Healthcare Internet of Things: Technologies, Advantages
281(4)
15.3.1 Advantage
281(1)
15.3.1.1 Concurrent Surveillance and Tracking
281(1)
15.3.1.2 From End-To-End Networking and Availability
282(1)
15.3.1.3 Information and Review Assortment
282(1)
15.3.1.4 Warnings and Recording
282(1)
15.3.1.5 Wellbeing Remote Assistance
283(1)
15.3.1.6 Research
283(1)
15.3.2 Complications
283(1)
15.3.2.1 Privacy and Data Security
283(1)
15.3.2.2 Integration: Various Protocols and Services
284(1)
15.3.2.3 Overload and Accuracy of Data
284(1)
15.3.2.4 Expenditure
284(1)
15.4 Healthcare's IoT Applications: Surgical and Medical Applications of Drones
285(1)
15.4.1 Hearables
285(1)
15.4.2 Ingestible Sensors
285(1)
15.4.3 Moodables
285(1)
15.4.4 Technology of Computer Vision
286(1)
15.4.5 Charting for Healthcare
286(1)
15.5 Drones That Will Revolutionize Healthcare
286(2)
15.5.1 Integrated Enhancement in Efficiency
286(1)
15.5.2 Offering Personalized Healthcare
287(1)
15.5.3 The Big Data Manipulation
287(1)
15.5.4 Safety and Privacy Optimization
287(1)
15.5.5 Enabling M2M Communication
288(1)
15.6 Healthcare Revolutionizing Drones
288(2)
15.6.1 Google Drones
288(1)
15.6.2 Healthcare Integrated Rescue Operations (HiRO)
289(1)
15.6.3 EHang
289(1)
15.6.4 TU Delft
289(1)
15.6.5 Project Wing
289(1)
15.6.6 Flirtey
289(1)
15.6.7 Seattle's VillageReach
290(1)
15.6.8 ZipLine
290(1)
15.7 Conclusion
290(1)
References 290(5)
Index 295
Vandana Mohindru PhD is an assistant professor in the Department of Computer Science and Engineering, Chandigarh Group of Colleges, Mohali, Punjab, India. Her research interests are in the areas of Internet of Things, wireless sensor networks, security, blockchain and cryptography, unmanned aerial vehicles. She has published more than 20 technical research papers in leading journals and conferences.

Yashwant Singh PhD is an associate professor & Head in the Department of Computer Science & Information Technology at the Central University of Jammu. His research interests lie in the area of Internet of Things, wireless sensor networks, unmanned aerial vehicles, cybersecurity. He has published more than 70 research articles in the international journals and conferences.

Ravindara Bhatt PhD is an assistant professor at Jaypee University of Information Technology, Solan, H.P., India. He has over 20 years of experience in academics and industry in India. He has published more than 30 research papers in leading journals and conferences. His areas of research include sensor networks, deployment modeling, communication, and energy-efficient algorithms, security and unmanned aerial vehicles.

Anuj Kumar Gupta PhD is professor & Head in CSE at Chandigarh Group of Colleges, Mohali, Punjab, India. He has published 100+ research papers in reputed journals.