1st Edition

The Internet of Drones AI Applications for Smart Solutions

    450 Pages 13 Color & 156 B/W Illustrations
    by Apple Academic Press

    450 Pages 13 Color & 156 B/W Illustrations
    by Apple Academic Press

    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.

    PART I: INTRODUCTION TO DRONES 

    1. The Internet of Things (IoT) Architectures and Protocols for Drone Communications 

    Garima Kulshreshtha, Awadhesh Kumar Maurya, and Sheng-Lung Peng 

    2. Approaching Internet Renovation of Imperceptible Computers to Facilitate the Internet of Drones 

    R. Jayalakshmi and Chuan-Ming Liu 

    3. Implementation and Deployment of 5G-Drone Setups 

    Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, and Amit Pandey 

    PART II: DRONE AUTOMATION SOLUTION FOR SECURITY AND SURVEILLANCE 

    4. Security Issues in the Internet of Drones (IoDs) 

    Namisha Bhasin, Sandhya Tarar, and Korhan Cengiz 

    5. Real-Time Monitoring and Analysis of Troposphere Pollutants Using a Multipurpose Surveillance Drone 

    Ramakanta Choudhury, Navneet Yadav, Jaideep Kala, Sonalika Bhandari, Chandrakanta Samal, and Noor Zaman Jhanjhi 

    6. Advanced Object Detection Methods for Drone Vision 

    Mahendra Kumar Gourisaria, G. M. Harshvardhan, Nitin. S. Goje, Soubhagya Sankar Barpanda, and Sachi Nandan Mohanty 

    7. Security Analysis of UAV Communication Protocols: Solutions, Prospects, and Encounters 

    P. Praveen Kumar, T. Ananth Kumar, Pavithra Muthu, Rajmohan Rajendirane, and R. Dinesh Jackson Samuel 

    PART III: DRONES IN THE MACHINE LEARNING ENVIRONMENT 

    8. Challenges and Opportunities of Machine Learning and Deep Learning Techniques for the Internet of Drones 

    Roshan Lal, Sandhya Tarar, and Naveen Chilamkurti Smieee 

    9. Machine Learning and Deep Learning Algorithms for IoD 

    Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Vivek Jaglan, and Aanchal Vij 

    PART IV: DRONES IN SMART CITIES 

    10. Smart Cities and the Internet of Drones 

    Mehtab Alam, Akshay Chamoli, and Nabeela Hasan 

    11. The Internet of Drones for Enhancing Service Quality in Smart Cities 

    Aditi Sakalle, Pradeep Tomar, Harshit Bhardwaj, Uttam Sharma, and Arpit Bhardwaj 

    PART V: APPLICATIONS OF DRONES IN BUSINESS AND DISASTER RELIEF MANAGEMENT 

    12. Internet of Drones Application in Aviation MRO Business Services 

    Bharati Singh and Saurabh Tiwari 

    13. Deploying Unmanned Aerial Vehicle (UAV) for Disaster Relief Management 

    Somya Goyal 

    Biography

    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.

    “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