Internet of Drone Things

Architectures, Approaches, and Applications

1st Edition - September 9, 2024
Authors: Amartya Mukherjee, Debashis De, Nilanjan Dey
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 9 0 0 - 8
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 1 5 9 0 1 - 5

As UAV technology is rapidly evolving, a pervasive need for a thorough investigation of its full capabilities has come to the forefront. Internet of Drone Things: Architectures, Ap… Read more

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As UAV technology is rapidly evolving, a pervasive need for a thorough investigation of its full capabilities has come to the forefront. Internet of Drone Things: Architectures, Approaches, and Applications fulfils this need enabling its readers to easily find the answers they are seeking by providing a comprehensive overview of the topic.

This book, in fact, includes fundamental information related to IoDT architecture design and features; reviews the state of the art in hardware and software platforms to deploy, connect, and control drones or swarms of drones; and covers the latest developments in innovative drone-facilitated applications and services that can significantly improve efficiency, productivity, and sustainability of various operations in modern society and a growing number of its industries. Finally, experimental modeling and simulations are accompanied by prototyping examples, which are set to become the benchmark of next-level automation in the field.

Internet of Drone Things: Architectures, Approaches, and Applications is, therefore, an invaluable resource for engineering students, researchers, and professionals, as well as sector experts who work to develop new drone standards or to identify new drone technology use and commercialization areas at an international level.

Cover image
Title page
Table of Contents
Copyright
Preface
Acknowledgments
Chapter 1. Internet of Drone Things: Architecture design
1.1. Internet of Drone Things
1.2. Fundamental architecture
1.3. Application scenarios and challenges
1.4. Conclusion
Chapter 2. Internet of Drone Things: Deployment strategies
2.1. Introduction
2.2. Classification of unmanned aerial vehicles
2.3. Classification of Internet of Drones
2.4. Deployment strategy state of the art
2.5. Vehicle-to-everything paradigm
2.6. Single and multiple UAV deployment strategies
2.7. Conclusion
Chapter 3. Routing and mission planning
3.1. Introduction
3.2. Related research
3.3. Layered network ecosystem design
3.4. Ad-hoc routing methodology
3.5. Opportunistic routing methodology
3.6. Routing under cellular network
3.7. Flying ad-hoc network scenario
3.8. Node mobility design
3.9. IoDT mission control
3.10. Conclusion
Chapter 4. Modeling and simulation of IoDT
4.1. Introduction
4.2. Popular drone simulation software
4.3. 3D terrain visualization using UAV
4.4. Image acquisition using PIX4D
4.5. Conclusion
Chapter 5. Hardware platforms and API specification for IoDT development
5.1. Introduction
5.2. Sensor node specifications
5.3. Onboard cloud service deployment
5.4. IoDT node deployments
5.5. Conclusion
Chapter 6. Effective IoDT framework for smart cities
6.1. Introduction
6.2. UAV and IoT collaboration
6.3. IoT and UAV collaboration for smart city safety
6.4. Data collection methodology for drones in smart cities
6.5. Smart drones for healthcare
6.6. Smart grid management using an IoDT framework
6.7. Conclusion
Chapter 7. Intelligence in the Internet of Drone Things
7.1. Introduction
7.2. Remote sensing and intelligent decision-making
7.3. IoDT-based object detection and classification
7.4. 6G and 7G technology for IoDT networks
7.5. IoDT for the metaverse
7.6. Conclusion
Chapter 8. Blockchain-enabled secure IoDT
8.1. Introduction
8.2. Fundamentals of IoDT
8.3. Blockchain
8.4. How blockchain can improve IoDT operations?
8.5. Blockchain architecture
8.6. Applications of Edge-enabled blockchain for a secure IoDT
8.7. Challenges of traditional blockchains for IoDT
8.8. Lightweight blockchain solutions for IoDT applications
8.9. Some broader perspectives of blockchain-enabled IoDT
8.10. Conclusion
Chapter 9. Internet of Drone Things applications for Industry 4.0 and beyond
9.1. Introduction
9.2. Computational Intelligence-native next-generation wireless technology
9.3. Industry 5.0 concept
9.4. Industry 5.0 technology enablers
9.5. UAV-assisted Industry 5.0
9.6. Quantum-inspired UAV networks
9.7. Conclusions
Chapter 10. Open research issues for Internet of Drone Things
10.1. Enhanced cellular coverage using IoDT
10.2. Cloud and big data technologies for drone networks
10.3. Implementation and deployment of real-time test beds for 5G/6G-drone
10.4. Distributed caching and security protocols for inter-drone communications
10.5. Advanced caching and content delivery technologies for IoDT
10.6. Content dissemination for IoDT
10.7. Security, integrity, and privacy solutions for IoDT
10.8. Energy-aware and sustainable solutions for inter-drone communications
10.9. Trust management and collaborative solutions for IoDT
10.10. Software-defined networks and network service chaining for IoDT
10.11. Mobility management and channel modeling in IoDT
10.12. In-memory computing for IoDT
10.13. IoDT using nuromorphic computing
10.14. Generative Internet of Drone Things
10.15. Blockchain-enabled IoDT-based forest fire monitoring
10.16. Digital twin for Internet of Drone technology
10.17. Internet of Quantum Drone Things
10.18. Conclusion
Index

Amartya Mukherjee

Amartya Mukherjee received his M.Tech from NIT Durgapur and is presently pursuing a PhD from Maulana Abul Kalam Azad University of Technology, Kalyani. He is currently the head of the Department of Computer Science & Engineering (AIML). He has over 14 years of teaching experience in the field of Computer Science. He has written numerous books and research articles in the field of IoT, embedded application development, wireless communication, and smart systems for various renowned publishing companies, like IEEE, Elsevier, Springer, Taylor & Francis, and World Scientific Press. His Embedded Systems & Robotics with Opensource Tools is one of the bestselling books in embedded application development. His research interests include flying ad-hoc networks, IoT, IoDT, intelligent systems, 5G and 6G communication, and machine learning.

Affiliations and expertise

Department of Computer Science and Engineering (AIML), Institute of Engineering and Management, Salt Lake, Kolkata, India.

Debashis De

Debashis De received his MTech degree from the University of Calcutta in 2002. He obtained his PhD in Engineering from Jadavpur University in 2005. He is a senior member of IEEE and a member of the International Union of Radio Science. He was awarded the prestigious BOYSCAST Fellowship by the Department of Science and Technology, Govt. of India to work at the Herriot-Watt University, Scotland. He was also given the Endeavour Fellowship Award (2008-2009) by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 in New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science Headquarters, Belgium. His research interests include location and handoff management, mobile cloud computing, traffic forecasting, green mobile networks, and low power nanodevice design for mobile applications. He has published more than 60 peer-reviewed articles in international journals, 50 conference papers, 2 research monographs, and 10 books.

Affiliations and expertise

Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kalyani, West Bengal, India.

Nilanjan Dey

Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.

He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Affiliations and expertise

Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UK

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Internet of Drone Things

Architectures, Approaches, and Applications

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Amartya Mukherjee

Debashis De

Nilanjan Dey