TY - BOOK AU - Moh,Melody AU - Sharma,Kanta Prasad AU - Agrawal,Rashmi AU - Garcia Diaz,Vicente ED - SpringerLink (Online service) TI - Smart IoT for Research and Industry T2 - EAI/Springer Innovations in Communication and Computing, SN - 9783030714857 AV - TK5105.8857 PY - 2022/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Cooperating objects (Computer systems) KW - Telecommunication KW - Application software KW - Computer networks  KW - Technological innovations KW - Cyber-Physical Systems KW - Communications Engineering, Networks KW - Computer and Information Systems Applications KW - Computer Communication Networks KW - Innovation and Technology Management KW - Internet of things N1 - Introduction -- IoT enabling Techniques for Real Time Navigation Approaches -- IoT services, Application & Standards -- Programming Framework for IoT -- IoT for Data Management over Web/Cloud -- IoT for Smart Home & Offices -- IoT for Retail & Supply Chain Management -- IoT for Smart Health & Challenges -- Smart Electricity & Energy Management -- IoT for innovative Agriculture prospective -- IoT for Automative Industrial Services and Applications -- Conclusion N2 - 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 UR - https://doi.org/10.1007/978-3-030-71485-7 ER -