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Full Description
The Internet of Things (IoT) refers to a system of interconnected computing devices with sensors, processing ability, and software, which connect and communicate with other devices and systems over the internet or other networks. IoT technology enables applications that perform tasks without human-to-human or human-to-computer interaction, improving efficiency and generating new opportunities. IoT digitalises industries to improve product quality and cost and creates the potential for a fully networked, human-cantered society with healthy economic growth. The concept of Internet of Everything (IoE) goes beyond IoT to include the connections between people, things, data, and processes combined into a common interrelated system, leveraging human and artificial intelligence to improve decisions and experience, and represents the future of IoT technology. Internet of Everything: Smart Sensing Technologies addresses the forefront of study of IoE by presenting state-of-the-art research along with current and future challenges in building new, smart applications. Specific topics covered include sensing, connectivity and communication, knowledge extraction by discovering resources for modelling information, and security and privacy. The sixteen chapters of this book will benefit students, researchers, and others who are interested in the future of this exciting technology.
Contents
Preface; Acknowledgments; Smart Living: Role of the Internet of Everything and the Challenges; The Scope and Vulnerabilities of the Internet of Medical Things (IoMT); An Overview of the Protocols, Technology, and Components of IoT Services; A Panorama of Communication Technologies for IoT Connected Devices; Localization of IoT Edge Devices; Unleashing 5G for Next Generation Health Care; An Integrated IoT Blockchain Security Technique Based on Decentralized Applications; Big Data Processing in Internet of Things (IoT) Systems; IoT in Smart Farming: A Boon to Farmers; An IoT-Based Farm Monitoring System Using MQTT Communication and Computer Vision; IoT-Based Machine Learning Approach for Rice Plant Disease Detection; The Vehicle Parking System in Smart Cities; Energy Conservation Approaches in the Internet of Things: Green IoT; Evolutionary Algorithm for Target Tracking Adaptive Pigeon Inspired Optimization Based on Energy ; An Architectural Framework for IoT-Based Smart Farming; Framework for Automated Booking and Gas Leakage Using IoT; Index.
