This book offers a holistic approach to the Internet of Things (IoT) model, covering both the technologies and their applications, focusing on uniquely identifiable objects and their virtual representations in an Internet-like structure. The authors add to the rapid growth in research on IoT communications and networks, confirming the scalability and broad reach of the core concepts. The book is filled with examples of innovative applications and real-world case studies. The authors also address the business, social, and legal aspects of the Internet of Things and explore the critical topics of security and privacy and their challenges for both individuals and organizations. The contributions are from international experts in academia, industry, and research.
Prof. Dr. Sachi Nandan Mohanty, He received his PostDoc from IIT Kanpur in the year 2019 and Ph.D. from IIT Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has edited 24 books in association with Springer and Wiley, His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received 3 Best Paper Awards during his Ph.D at IIT Kharagpur from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He has awarded Best thesis award first prize by Computer Society of India in the year 2015. He has guided 6 phd Scholar. He has published 60 International Journals of International repute and has been elected as FELLOW of Institute of Engineers and Senior member of IEEE Computer Society Hyderabad chapter. He also the reviewer of Journal of Robotics and Autonomous Systems (Elsevier), Computational and Structural Biotechnology Journal (Elsevier), Artificial Intelligence Review (Springer), Spatial Information Research (Springer).
Mr. Jyotir Moy Chatterjee is currently working as an Assistant Professor in the Department of Information Technology at Lord Buddha Education Foundation (Asia Pacific University of Innovation & Technology), Kathmandu, Nepal. Earlier he worked as an Assistant Professor in the Department of Computer Science Engineering at G. D. Rungta College of Engineering & Technology (Chhattisgarh Swami Vivekananda Technical University), Bhilai, India. He is also serving as the Young Ambassador of Scientific Research Group of Egypt (SRGE) for 2020-2021. His research interests include the internet of things, machine learning & blockchain technology. He is credited with 47 international journal papers, 2 conference papers, 6 technical articles, 5 authored books, 9 edited books, 12 book chapters, and 1 patent. He is the Book Series Editor of Cyber-Physical Systems: The New Era of Computing (CRC Press Taylor & Francis Group), Artificial Intelligence in Smart Healthcare Systems (CRC Press Taylor & Francis Group) & Machine Learning in Biomedical Science & Healthcare Informatics (Scrivener Publishing-Wiley). He is also serving as a reviewer for various reputed journals of Elsevier, Springer, and IEEE. He is also a member of various international conferences technically sponsored by Springer & IEEE.
Dr. Suneeta Satpathy, received her Ph.D. from Utkal University, Bhubaneswar, Odisha, in the year 2015, with Directorate of Forensic Sciences, MHA scholarship from Govt of India. She is currently working as an Associate Professor in the Department of Computer Science & Engineering at College of Engineering Bhubaneswar (CoEB), Bhubaneswar. Her research interests include Computer Forensics, Cyber Security, Data Fusion, Data Mining, IoT, Big Data Analysis, Decision Mining and Machine Learning. Her professional activities include roles as editorial board member and/or reviewer of Journal of Engineering Science, Advancement of Computer Technology and Applications, Robotics and Autonomous Systems (Elsevier), computational and Structural Biotechnology Journal (Elsevier). She is also editor of several books on the topic of Digital Forensics, Internet of Things, Machine Learning and Data Analytics published by leading publishers.