Sustainable UAV Ecosystems

Integrating Blockchain, Quantum, and AI for Smart Mobility and SDG Innovation
1. Auflage 2026
ISBN: 978-1-041-22288-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 305 Seiten, Format (B × H): 156 mm x 234 mm

Sustainable UAV Ecosystems: Integrating Blockchain, Quantum, and AI for Smart Mobility and SDG Innovation provides a comprehensive examination of technologies enabling secure, intelligent, and sustainable UAV ecosystems for smart mobility and digital infrastructure. It presents theoretical foundations and practical methodologies integrating artificial intelligence, blockchain, post-quantum cryptography and cloud-edge computing for resilient UAV communications. It not only explores predictive intelligence, adaptive routing, swarm intelligence and decentralized control in autonomous aerial networks but also highlights applications in smart-city logistics, disaster response, environmental monitoring and precision agriculture. Emphasis is placed on energy-efficient operations, low-carbon mobility and sustainable UAV systems aligned with Sustainable Development Goals (SDGs).

Key Features:

- Illustrates the design and integration of secure and sustainable UAV ecosystems, including intelligent aerial networks, smart mobility infrastructures, and autonomous drone operations.

- Emphasizes the role of artificial intelligence and intelligent analytics in UAV systems by leveraging advanced techniques such as predictive intelligence, adaptive routing, and swarm intelligence for cooperative aerial operations.

- Presents practical applications of UAV technologies in smart-city logistics, disaster response, environmental monitoring, and precision agriculture to support efficient and sustainable services.

- Covers cybersecurity mechanisms and post-quantum cryptographic models for protecting UAV communications, aerial networks, and decentralized drone infrastructures.

- Showcases the integration of blockchain, distributed cloud–edge computing, and decentralized control frameworks to enable trustworthy, scalable, and resilient UAV ecosystems.

This book is suitable for senior undergraduates, graduate students, and academic researchers in computer science, artificial intelligence, aerospace engineering, robotics, communication engineering, and smart mobility systems, as well as policymakers and industry practitioners working on sustainable UAV technologies and intelligent aerial infrastructures.

Zielgruppe

Academic

Autoren/Hrsg.

Saini, Hemant Kumar

Maleh, Yassine

Rani, Sita

Khan, Surbhi Bhatia

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

Chapter 1: Cybersecurity Foundations for Sustainable UAV Ecosystems. Chapter 2: Post-Quantum Cryptography and Security Models for UAVs Communications. Chapter 3: Ensuring Trust through Blockchain Technology for Decentralized Cloud-based UAV Networks. Chapter 4: Aerial Intelligence: Orchestrating Cloud and Edge Computing Paradigms in Unmanned Aerial Vehicle Infrastructures. Chapter 5: Predictive Intelligence, Adaptive Routing, and Autonomy in UAV Networks. Chapter 6: Decentralized Control and Distributed Intelligence for High-Density UAV Logistics Networks Supporting Smart-City Transportation and Delivery Services. Chapter 7: Bioinspired Swarm Intelligence Algorithms for Cooperative UAV Systems. Chapter 8: Intelligent UAV Frameworks for Disaster Response and Environmental Monitoring: AI, Blockchain, and Quantum-Inspired Approaches. Chapter 9: Low-Carbon and Energy-Aware UAV Operations for Sustainable Smart Mobility Ecosystems. Chapter 10: Energy Efficiency, Emissions Reduction, and Eco-Performance Metrics for UAVs. Chapter 11: Automated Agricultural Spraying Using Commercial UAV Platforms. Chapter 12: Drones Application in Precision Agriculture: A Survey of Techniques, Challenges, and Opportunities. Chapter 13: Blockchain Governance and Legal Frameworks for Sustainable UAV Ecosystems: A Global and Indian Perspective.

Über Autor(innen)

Hemant Kumar Saini works as an academic at the School of Computer Science Engineering at Bennett University (The Times Group), Greater Noida, India and Lincoln University, Malaysia. He has more than 14 years of teaching experience. His research includes digital transformation technologies such as Aerial Vehicles, Ad-hoc Networks, Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing, Cloud-native computing, and Digital Twins.

Yassine Maleh is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of Things Security, Wireless and Constrained Networks Security. His research interests include Information Security and Privacy, Internet of Things, Networks Security, Information system and IT Governance.

Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She has more than 20 years of academic, administration, and research experience. Her research interest includes Aero Agriculture, Artificial Intelligence, Machine Learning, Internet of Things, Blockchain Technology, Smart Healthcare, and Sustainable Development.

Surbhi Bhatia Khan is working in the School of Science, Engineering and Environment at the University of Salford, United Kingdom. She is Project Management Professional Certified from PMP, USA. She is ranked among the top 2% of scientists globally for the second year in a row (2023 and 2024). She is supervising/co-supervising a number of PhDs and research associates. She has published over 250 articles and books in high indexed outlets with her students and colleagues and also has been granted patents from USA. She is also serving as Deputy EIC in TCE letters, Associate editor in IEEE Transactions on Consumer Electronics, HCIS and EAAI journals and Guest editor in many other reputed journals. She is working in KTP Projects Innovate UK and has submitted grants as a CO-PI inHORIZON-EIC-2025-PATHFINDEROPEN. Her research interests are Information Security and Privacy, Quantum Computing,  Machine Learning/Deep learning, Data Science in Healthcare and IoT, Text analytics and detection  and Sentiment Analysis.