The rapid advancement of digital technologies has transformed the modern world into a highly interconnected ecosystem where devices, systems, and services communicate seamlessly. Among the most influential technological developments of the present era are the Internet of Things (IoT) and Edge Computing, which together are reshaping industries, businesses, healthcare, transportation, smart cities, and everyday life.
The Internet of Things enables physical devices embedded with sensors, software, and communication technologies to collect, exchange, and analyze data in real time. However, the exponential growth of connected devices has also introduced challenges related to latency, bandwidth, security, and real-time processing. Edge Computing addresses these challenges by bringing computation and data processing closer to the source of data generation, thereby improving efficiency, speed, and reliability.
This book, Internet of Things and Edge Computing, has been prepared to provide students, researchers, academicians, and technology enthusiasts with a comprehensive understanding of the principles, architectures, technologies, and applications of IoT and Edge Computing. The contents are carefully structured to combine theoretical foundations with practical perspectives, enabling readers to understand both conceptual frameworks and real-world implementations.
The book covers a wide range of topics including IoT architecture, sensors and actuators, communication protocols, cloud and edge integration, data analytics, security challenges, smart applications, artificial intelligence integration, and emerging trends in distributed computing. Each chapter is designed to present concepts in a clear and systematic manner, supported by examples, illustrations, and application-oriented discussions.
Special emphasis has been placed on the role of Edge Computing in enabling intelligent decision-making, reducing network dependency, and supporting time-sensitive applications such as autonomous systems, healthcare monitoring, industrial automation, and smart infrastructure. The integration of IoT with advanced technologies such as Artificial Intelligence, Machine Learning, and Data Analytics has also been explored to highlight the future scope of intelligent connected systems.
This book is intended primarily for undergraduate and postgraduate students in Computer Science, Information Technology, Electronics, and related disciplines. It will also serve as a valuable reference for researchers, educators, and professionals seeking knowledge in the evolving fields of IoT and Edge Computing.
The authors sincerely hope that this book will encourage readers to explore innovative ideas, strengthen technical understanding, and contribute to future advancements in connected and intelligent computing environments.
We express our heartfelt gratitude to our institutions, colleagues, students, and well-wishers for their continuous encouragement and support during the preparation of this book. We also thank the publishers for their cooperation and commitment in bringing this work to completion.
Constructive suggestions and feedback from readers are always welcome and will help us improve future editions of this book.
Ms. Bowya. B
Dr. Leelavathi. K. S
Ms. Saranya. P
Ms. Sushma. A
Ms. Latha. R