Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions

This book explores connectivity and edge computing solutions for various IoT use cases, emphasizing customized solutions for massive connections, seamless mobility, low latency, and high energy efficiency. It highlights the role of AI in future IoT networks and showcases AI-based solutions. The book aims to facilitate an increasingly connected and intelligent world, offering benefits such as increased productivity, improved connectivity, enhanced safety, and enriched entertainment experiences. It serves as a valuable resource for researchers, graduate students, and professionals in the IoT field.

Format: Paperback / softback
Length: 168 pages
Publication date: 27 November 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into cutting-edge connectivity and edge computing solutions for diverse Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Tailored to meet the unique characteristics and requirements of each application, these solutions are designed to support massive connections, seamless mobility, and low latency or high energy efficiency. Moreover, the book underscores the pivotal role of artificial intelligence (AI) in shaping the future of IoT networks, showcasing AI-based connectivity and edge computing solutions.

The solutions presented in this book aim to foster a more interconnected and intelligent world, offering a range of potential benefits. These include enhanced productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. By drawing on state-of-the-art research in the IoT field, this book provides valuable insights into how to connect billions of diverse devices and enable seamless data collection and processing in the future IoT. Furthermore, it sheds light on the importance of customizing use case-specific solutions and leveraging various AI methods to empower IoT.

This book is primarily targeted at researchers and graduate students specializing in electrical engineering, computing engineering, and computer science. It serves as a secondary textbook or reference for these fields. Additionally, professionals in the industry who work in the IoT domain will find this book to be a valuable resource for staying updated on the latest advancements and best practices.

Weight: 291g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030887452
Edition number: 1st ed. 2021