Internet of Things : Energy, Industry, and Healthcare

Internet of things (IoT) is the connection and communication of physical objects (smart devices) over the internet. In this recent age, people’s daily lives are dependent on the internet through their smartphones, tablets, Smart TVs, micro-controllers, Smart Tags, computers, laptops, and cars to name a few. This book discusses different ways to create a better IoT network and/or IoT platforms to improve the efficiency and quality of these products and subsequently their users' lives. In addition, this book provides future research directions in energy, industry, and healthcare, and explores the different applications of IoT and its associated technologies. It provides an overview and explanation of the software architecture, middleware, data processing and data management as well as security, sensors, actuators and algorithms used to create a working IoT platform. The editors then go on to examine IoT networks and platforms as they relate to energy industry including, energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues. They then explore IoT as it applies to healthcare including biomedical image and signal analysis and disease prediction and diagnosis. Finally the editors examine the prospects and applications of IoT for industry through the concepts of smart industry, including architecture, blockchain, and Industry 4.0. This book is intended for senior undergraduate and graduate students, researchers and industry professionals working on IoT applications and infrastructure.

• Reviews IoT software architecture and middleware, data processing and management, security, privacy and reliability, architectures, protocols, technologies, algorithms, and smart objects, sensors, and actuators
• Explores IoT as it applies to energy, including energy efficiency and management, intelligent energy management, smart energy through blockchain and energy-efficient/aware routing/scheduling challenges and issues Examines IoT as it applies to healthcare including biomedical image and signal analysis, and disease prediction and diagnosis
• Examines IoT as it applies to smart industry including architecture, blockchain, and Industry 4.0
• Discusses different ways to create a better IoT network or IoT platform

Dr. Ayodeji Olalekan Salau works at Afe Babalola University in the Department of Electrical/Electronics and Computer Engineering.

Prof. Arun Kumar Rana is an Assistant Professor at PIET College Samalkha.

Dr. Sharad Sharma has a vast experience of more than 20 years of teaching and administrative work.

Dr. Shubham Tayal is an Assistant Professor at SR University, Warangal, India.

Prof. Swati Gupta works at Panipat Institute of Engineering & Technology.