The Internet of Things is advancing on multiple fronts—from sensing and connectivity to security, data engineering, analytics, embedded systems, and automation. This second edition explores the next wave of innovation: energy‑efficient IoT architectures, the integration of generative AI, and the harnessing of contextual intelligence for smarter, more autonomous devices. It provides practical strategies for end‑to‑end security and privacy management and shows how machine learning and deep learning drive robust, scalable IoT systems. With included case studies, the book connects individual, industrial, and government applications, offering actionable models and best practices for building resilient, intelligent IoT solutions.
- Presents recent trends in IoT technology with 5G network communication through cloud and edge computing
- Focuses on security and privacy preservation techniques like blockchain to develop secured IoT devices to make them smarter and adaptable
- Deals with the challenges in adopting complex models of Machine Learning and Deep Learning in IoT devices
- Covers Generative AI and its applications in IoT Discusses concept of Internet of Behaviour (IoB) leading for harnessing of contextual intelligence
This book is aimed at researchers and graduate students in networking, communication systems, electrical engineering, and IoT.
Table of Contents:
1.Smart Container: An IoT-Based Food Storage System for Reduced Waste and Improved Management 2. Generative AI-Based Wearable Devices: The Future Unveiled 3. Adaptive IoT: Customizable Frameworks for Dynamic Environments 4. Equity in Health Care: Thinking Through Physicians and Achieving Through Engineers 5. Leveraging Machine Learning Intrusion Detection and Blockchain for Enhanced Data Protection 6. Soft Computing Techniques for Enhancing the Security in IoT 7. Edge Computing in IoT: Low Latency & Security in Healthcare 8. IoT - Powered Smart Home System: Optimizing Energy Use, Comfort, and Convenience 9. Harnessing Contextual Intelligence: A Recent Perspective on Internet of Behavior (IoB) Technologies 10. IoT Based Smart Cooking Temperature Analysis Using Generative Adversarial Network and Machine Learning Techniques 11. Revolutionizing Healthcare: The Impact of IoT Sensors in Diagnosing and Managing Chronic Diseases 12. Innovative Privacy Management Techniques for IoT and WSN Using ML and DL Approaches 13. IoT -Based Vehicle/Pedestrian Detection and Close Movement Alert at Night Time in Dense Slow Traffic on Indian Urban Roads 14. Advanced Driver Assistance Systems 15. Innovations and Applications in Wearable AIoT for Healthcare 16. Adaptive IoT: Customizable Frameworks for Dynamic Environments 17. Optimizing Indoor Environments: Harnessing Sensor-Based Solutions for Air Quality Management 18. Enhancing social IoT devices with generative AI to improve user interactions and experiences 19. Leveraging generative AI for real-time decision-making and control in autonomous vehicles 20. Implementing IoT sensors to collect real-time data on energy consumption and using analytics to optimize usage 21. Applying IoT technology to automate and optimize energy use in commercial and residential buildings
About the Author :
BK Tripathy is working as a Professor in the higher academic grade in the SITE school of VIT; Vellore. He received his Ph.D. degree in 1983. During his student career, he received 3 gold medals for standing first at graduation level, standing first at postgraduate level, and being adjudged as the best postgraduate of the year from Berhampur University, Odisha. He has the distinction of receiving the national scholarship at PG level, UGC (Govt. of India) fellowship for pursuing his research, DST (Govt. of India) fellowship for pursuing M. Tech. (Computer Science) in Pune University, and the SERC fellowship (DOE, Govt. India) for joining IIT Kharagpur as a visiting fellow. He has published around 800 articles in international journals, proceeding of international conferences of repute, chapters in edited research volumes. Also, he has edited 9 research volumes, written 2 books and 2 monographs. During his career so far he has supervised candidates for 32 PhD degrees, 13 M. Phil degrees and 5 M.S and M. Tech by research degrees. Also, he has guided numerous student projects at their major projects at B. Tech, M. Tech and MCA levels. Dr. Tripathy is a member of more than 30 professional bodies like a senior member of IEEE, a senior member of ACM, a senior member of IRSS, a senior life member of CSI, Indian Academy of Mathematics, IEEE Communication Society, Indian Mathematical Society, ACM Compute News group, Indian Science Congress Association, International Science and Technology group, and IEEE fuzzy logic society. As recognition of his distinguished research in the field of Mathematics, he was included by American Mathematical Society as a reviewer for Mathematical Reviews in 1982 and later honoured with an honorary membership of American Mathematical Society in 1992. In 1983 he was selected as a reviewer for Zentralblutt fur Mathematik (Germany). At present, Dr. Tripathy is a reviewer for over 100 international journals from all top publishing houses world over. He has evaluated the Ph.D. thesis of about 27 universities from all over India. He has been sanctioned with three research projects from central agencies of India like UGC, DST and DRDO. Also, Dr. Tripathy has served at several administrative positions like head of the departments, Program manager of different academic programs, Division leader of research groups and Dean of schools
J Anuradha works as a professor in the School of Computer Science and Engineering. She has 20+ years of academic experience and 10+ years of research experience. She has guided four Ph.D. scholars and her area of research includes Machine Learning, Deep Learning and Soft Computing. She has published 32 research articles in prestigious journals and conferences. She has published a book titled “Soft Computing: Advances and applications” and an edited volume.
