Internet of Drones

Arun Solanki, PhD, is Professor of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. His many roles include timetable coordinator and member of the examination, admission, sports council, digital information cell, and other university teams. He has published research articles in international journals and has organized several FDP, conferences, workshops, and seminars. He is also Associate Editor of the International Journal of Web-Based Learning and Teaching Technologies.Sandhya Tarar, PhD, is Assistant Professor of Computer Science and Engineering and Convener of the Centre of Excellence on Artificial Intelligence and Cyber Security at Gautam Buddha University, Greater Noida, India. She has published her work in national and international journals and conferences and holds two patents: “Smart Medicine Dispenser” and “A Device for Contamination Detection in Fuel Supply into a Vehicle.”Simar Preet Singh, PhD, is Assistant Professor of Computer Science Engineering and Technology at Bennett University, Greater Noida, India. He was previously affiliated with GNA University, Chandigarh Engineering College, DAV University, and Infosys Limited. He has published journal papers and has presented his work at national and international conferences in India and abroad.Akash Tayal, PhD, is Associate Professor of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, India. He has published research articles in SCI/Scopus-indexed international journals and has participated at many international conferences as a technical and advisory committee member and session chair.

• PART I: INTRODUCTION TO DRONES 1. The Internet of Things (IoT) Architectures and Protocols for Drone Communications 2. Approaching Internet Renovation of Imperceptible Computers to Facilitate the Internet of Drones 3. Implementation and Deployment of 5G-Drone Setups PART II: DRONE AUTOMATION SOLUTIONS FOR SECURITY AND SURVEILLANCE 4. Security Issues in the Internet of Drones (IoDs) 5. Real-Time Monitoring and Analysis of Troposphere Pollutants Using a Multipurpose Surveillance Drone 6. Advanced Object Detection Methods for Drone Vision 7. Security Analysis of UAV Communication Protocols: Solutions, Prospects, and Encounters PART III: DRONE IN THE MACHINE LEARNING ENVIRONMENT 8. Challenges and Opportunities of Machine Learning and Deep Learning Techniques for the Internet of Drones 9. Machine Learning and Deep Learning Algorithms for IoD PART IV: DRONES IN SMART CITIES 10. Smart Cities and the Internet of Drones 11. The Internet of Drones for Enhancing Service Quality in Smart Cities PART V: APPLICATIONS OF DRONES IN BUSINESS AND DISASTER RELIEF MANAGEMENT 12. Internet of Drones Application in Aviation MRO Business Services 13. Deploying Unmanned Aerial Vehicle (UAV) for Disaster Relief Management

“The book has documented the concept of ‘Internet of Drone Things’ in a very elaborative, logical, and strong technical manner. All the latest topics connected to drones in terms of architecture, security, protocols, artificial intelligence role, and real-time case studies are well documented. The book lays a strong foundation for researchers to do advanced research and solve futuristic problems connected to IoDT and come up with more case studies for IoDT-based implementations.” —Anand Nayyar, PhD, School of Computer Science, Duy Tan University, Viet Nam