Springer Smart IoT for Research and Industry (EAI/Springer Innovations in Communication and Computing)

Product Description This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders. From the Back Cover This book covers a variety of smart IoT applications for industry and research. For industry, the book is a guide for considering the real-time aspects of automation of application domains. The main topics covered in the industry section include real-time tracking and navigation, smart transport systems and application for GPS domains, modern electric grid control for the electricity industry, IoT prospectives for modern society, IoT for modern medical science, and IoT automation for Industry 4.0. The book then provides a summary of existing IoT research that underlines enabling technologies, such as fog computing, wireless sensor networks, data mining, context awareness, real-time analytics, virtual reality, and cellular communications. The book pertains to researchers, outcome-based academic leaders, as well as industry leaders. Covers real-time problems for industry along with unique research methodologies for furthering the field; Includes authentic research datasets for simulated applications in IoT; Features topics such as IoT for retail and supply chain management, smart health, and smart electricity & energy management. About the Author Melody Moh obtained her BS in Electrical Engineering from National Taiwan University, and MS and Ph.D. in Computer Science from University of California - Davis. She joined San Jose State University in 1993, and currently serves as the Chair with the Dept. of Computer Science. Her research interests include IoT, cloud computing, mobile networking, information security, and machine learning applications. Her research has been funded by both government and industry; she has published over 160 refereed papers in international journals, conference proceedings, and books, and has consulted for various companies.   Kanta Prasad Sahrma has a rich innovative teaching experience of more than 13 years. Dr. Sharma has Ph.D in Information Technology from Amity University, Mater from UPTU Lucknow, India. At present, he is working as Assistant Professor in Computer Science & Engineering , Coordinator - Research & Development Cell at GLBAJAJ Group of Institutions. He has published 16+ research papers in with SCI & SCOPUS indexing international Journals and Conference Proceedings and also the Member of ACM, Computer Society of India, IEEE & Governing Body Member of ERDA, IAENG (International Association of Engineering). He has been engaged as faculty guide for more than 15 undergraduate and graduate students and also supervising five M.Tech research scholars in the field of IoT, Navigation and communication, Wireless Sensor Networks, Finger control technology. Dr. Sharma is a member of the Editorial Board of more than 5 International and National Journals. He is presently the editor of Springer, Willy publications  and TPC member of more than seven international conferences.   Rashmi Agrawal is PhD and UGC-NET qualified with 19+ years of experience in teaching and research, working as Professor in Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad,