Overview

In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications. Here is a detailed exploration of adapting and implementing Internet of Drones technologies in real-world applications, emphasizing solutions to architectural challenges and providing a clear overview of standardization and regulation, implementation plans, and privacy concerns. The book discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications, such as for monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, communications, transport, safety and protection), for disaster relief management, for agricultural crop monitoring, and more.

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9781774639856

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Reviews

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 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

Author Information

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.

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