Computer Science & Information Management

The Internet of Drones
AI Applications for Smart Solutions

Editors: Arun Solanki, PhD
Sandhya Tarar, PhD
Simar Preet Singh, PhD
Akash Tayal, PhD

The Internet of Drones

Published. Available now.
Pub Date: November 2022
Hardback Price: see ordering info
Hard ISBN: 9781774639856
E-Book ISBN: 9781003277491
Pages: 450pp w/index
Binding Type: Hardback
Notes: 13 color and 156 b/w illustrations


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

In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications in different sectors. This volume provides a detailed exploration of adapting and implementing Internet of Drones (IoD) technologies into real-world applications, with the emphasis on solutions to architectural challenges, providing a clear overview of standardization and regulation, implementation plans, and privacy concerns.

The Internet of Drones: AI Applications for Smart Solutions discusses the architectures and protocols for drone communications, implementing and deploying of 5G-drone setups, security issues with drone technology, deep learning techniques applied on real-time footage, and more. It also explores some of the varied applications of IoD, such as for use in monitoring and analysis of troposphere pollutants, providing services and communications in smart cities (such as for weather forecasting, healthcare, communications, transport, agriculture, safety and protection, environmental reduction, service delivery, and e-disposal), for disaster relief management (such as for scanning the affected areas for radiation intensity in cases of nuclear disaster, gathering the location of hotspots, looking for the victims, assessing damage), and more. The authors cover package delivery, movement of traffic, crop monitoring, and mass detection. The problems and challenges associated with IoD in air traffic monitoring, communication between drones, optimum route discovery, and security are also addressed.

This detailed exploration of adapting and implementing IoD technologies into real-world applications in this volume will be valuable for graduate students in computer science and especially drone technology, as well as researchers and professionals.

CONTENTS:


Preface

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: DRONE 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


Index


About the Authors / Editors:
Editors: Arun Solanki, PhD
Assistant Professor, Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India

Arun Solanki, PhD, is an Assistant Professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India, where he has also held various additional roles over the years. He is the Co-Convener of the Center of Excellence in Artificial Intelligence. He has supervised more than 60 MTech dissertations. His research interests span expert systems, machine learning, and search engines. He has published many research articles in SCI/Scopus-indexed international journals and has participated at many international conferences. He has been a technical and advisory committee member of many conferences and has chaired and organized many sessions at international conferences, workshops, and seminars. Dr. Solanki is working as Associate Editor for the International Journal of Web-Based Learning and Teaching Technologies (IJWLTT). He has also been working as a guest editor for special issues in Recent Patents on Computer Science. Dr. Solanki is the editor of many books and is working as the reviewer for journals published by Springer, IGI Global, Elsevier, and others. He received his MTech degree in computer engineering from YMCA University, Faridabad, Haryana, India. He earned his PhD in Computer Science and Engineering from Gautam Buddha University, Greater Noida, India.

Sandhya Tarar, PhD
Assistant Professor Department of Computer Science and Engineering; Convener. Centre of Excellence on Artificial Intelligence and Cyber Security, Gautam Buddha University, Greater Noida, India

Sandhya Tarar, PhD, is an Assistant Professor in Department of Computer Science and Engineering and as a Convener of the Centre of Excellence on Artificial Intelligence and Cyber Security at Gautam Buddha University, Greater Noida, India. She has been involved in technical teaching and research for more than 14 years at various technical institutes and universities. She has published her work in national and international journals and conferences. Her area of research is artificial intelligence, biometrics, Internet of Things and digital image processing. She has two patents to her credit for a “Smart Medicine Dispenser” and for “A Device for Contamination Detection in Fuel Supply into a Vehicle.” She has received many awards, including a Young Scientist Award, Bharat Vikas Award, “Best Teacher Award, Best Guru Award, Young Researcher Award, etc., by organizations such as EET CRS Academic Brilliance, Institute of Self Reliance and Rashtriya Shaikshik Mahasangh, GISR Foundation. She received a Distinguished Educator Award in International Business and Academic Excellence Awards (ABAE-2019) at the American College of Dubai. Dr. Tarar has supervised many dissertations and student projects and has been affiliated with many conferences and journals in a variety of roles, including reviewer, panelist, committee member, workshop leader, expert lecturer, etc. She has also designed course curriculum for integrated courses in computer science and engineering and artificial intelligence. She has also established laboratories of software engineering and testing at her university.

Simar Preet Singh, PhD
Assistant Professor, School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India

Simar Preet Singh, PhD, is Assistant Professor at School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India. He was previously affiliated with GNA University, Phagwara, and Chandigarh Engineering College, Ajitgarh, India. He also previously worked with Infosys Limited and DAV University, Jalandhar, India, and has worked on international projects. He has published papers in SCI/SCIE/Scopus-indexed journals and has presented many research papers at various national and international conferences in India and abroad. His areas of interests include cloud computing, fog computing, IoT, big data and machine learning. He earned his doctoral degree at Thapar Institute of Engineering and Technology, Patiala, India, and also holds several specialized certifications, including like Microsoft Certified System Engineer (MCSE), Microsoft Certified Technology Specialist (MCTS), and Core Java. He had also undergone a training program for VB.Net and Cisco Certified Network Associates (CCNA).

Akash Tayal, PhD
Associate Professor, Department of Electronics and Communication, Indira Gandhi Delhi Technical University for Women, Delhi, India

Akash Tayal, PhD, is an Associate Professor of the Department of Electronics and Communication at the Indira Gandhi Delhi Technical University for Women, Delhi, India. He has more than 15 years of experience in academics. He has published research articles in SCI/Scopus-indexed international journals and has participated at many international conferences. His work has been cited over 465 times, with a Google Scholar index of h-index score 12 and i-10 index 13. He has been a technical and advisory committee member of many conferences and has chaired and organized many sessions at international conference, workshops, and seminars. His current research interests include deep learning, machine learning, data science and data analytics, image processing, stochastic dynamic facility layout problem, optimization, meta-heuristic, and decision science. He is a life member of the GLOGIFT Society and the Indian Institution of Industrial Engineering. He holds a PhD from IIT Delhi, India.




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