Internet of Things (IoT) : Technologies, Applications, Challenges and Solutions

The second edition of this book focusses on topics like energy efficient IoT models, generative AI in IoT, harnessing contextual intelligence of smart devices, security and privacy management in IoT devices covering all domains of individual, industries and government applications.

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 computingFocuses on security and privacy preservation techniques like blockchain to develop secured IoT devices to make them smarter and adaptableDeals with the challenges in adopting complex models of Machine Learning and Deep Learning in IoT devicesCovers Generative AI and its applications in IoT Discusses concept of Internet of Behaviour (IoB) leading for harnessing of contextual intelligenceThis book is aimed at researchers and graduate students in networking, communication systems, electrical engineering, and IoT.