This book offers a clear and practical introduction to the Internet of Things, guiding readers from fundamental concepts to real-world applications across smart homes, agriculture, healthcare, industry, and smart cities. With easy-to-understand explanations, detailed diagrams, hands-on examples, and domain-specific case studies, it equips students, educators, and beginners with the knowledge needed to design, build, and understand modern IoT systems. Whether you're exploring embedded hardware, cloud connectivity, communication protocols, or emerging trends, this textbook serves as a complete and reliable companion for anyone stepping into the world of connected technologies.
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Arun Joseph A, Dr. KALAISELVI V, Ranjani P, Anithamalar A
The authors collectively bring extensive academic and research expertise from the fields of Artificial Intelligence, Computer Science, and Information Technology. Mr. A. Arun Joseph, Assistant Professor in the School of Artificial Intelligence at Nandha Arts and Science College (Autonomous), Erode, has over sixteen years of teaching experience and is pursuing his Doctorate in AI, with more than twenty research publications and several published novels to his credit. Dr. V. Kalaiselvi is an Associate Professor and Head in the Department of Internet of Things at Vellalar College for Women (Autonomous), Erode, with over 22 years of experience in higher education. She specializes in Physics, Nanomaterials, and interdisciplinary research. She has extensive experience in teaching UG and PG courses with strong pedagogical expertise. A recognized Ph.D and M.Phil research guide, she has successfully supervised 9 M.Phil and 1 Ph.D scholars, with 4 Ph.D scholars currently ongoing. She is actively involved in funded research projects supported by national agencies. She has published extensively in reputed national and international journals, with over 750 citations and an h-index of 13. Mrs. P. Ranjani, Assistant Professor in the PG and Research Department of Computer Science at the same institution, contributes eleven years of academic experience, research publications, and active involvement in curriculum development and quality initiatives. Mrs. A. Anithamalar, Assistant Professor in the School of Artificial Intelligence, is pursuing her Doctorate in Data Mining and has nine years of teaching experience along with multiple research publications and contributions as an ISBN-registered author.
