Low-Power Wide Area Network for Large Scale Internet of Things

<p>This book presents a comprehensive exploration of LPWANs delving into their fundamental concepts underlying technologies and the multifaceted challenges they tackle. This book recognizes that LPWANs don't operate in isolation; they are intimately intertwined with Artificial Intelligence and Machine Learning (AI/ML) technologies which play a pivotal role in optimizing LPWAN performance and capabilities. The book is a collection of original contributions regarding air interface transmission technologies and novel network architectures such as network slicing cloud/fog/edge computing ad hoc networks and software-defined network. Also this book provides a guide for researchers of IoT applications to choose suitable LPWAN technologies and describe the design aspects network architectures security issues and challenges.</p><p>Features:</p><ul> <li>Explains machine learning algorithms onto low-power wide area network sensors for compressed communications. </li> <li>Illustrates wireless-based Internet of Things networks using low-power wide area networks technology for quality air. </li> <li>Presents cognitive Internet of Things networks using wireless communication and low-power wide area network technologies for Ad Hoc networks. </li> <li>Discusses a comprehensive study of low-power wide area networks for flying Ad Hoc networks. </li> <li>Showcases the study of energy efficient techniques aided by low-power wide area network technologies for the Internet of Things networks. </li> </ul><p>The text is aimed at senior undergraduate graduate students and academic researchers in the fields of electrical engineering electronics and communication engineering computer engineering and information technology.</p>