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Book synopsis

This book covers connectivity and edge computing solutions for representative Internet of Things (IoT) use cases, including industrial IoT, rural IoT, Internet of Vehicles (IoV), and mobile virtual reality (VR). Based on their unique characteristics and requirements, customized solutions are designed with targets such as supporting massive connections or seamless mobility and achieving low latency or high energy efficiency. Meanwhile, the book highlights the role of artificial intelligence (AI) in future IoT networks and showcases AI-based connectivity and edge computing solutions.The solutions presented in this book serve the overall purpose of facilitating an increasingly connected and intelligent world. The potential benefits of the solutions include increased productivity in factories, improved connectivity in rural areas, enhanced safety for vehicles, and enriched entertainment experiences for mobile users. Featuring state-of-the-art research in the IoT field, this book can help answer the question of how to connect billions of diverse devices and enable seamless data collection and processing in future IoT. The content also provides insights regarding the significance of customizing use case-specific solutions as well as approaches of using various AI methods to empower IoT. This book targets researchers and graduate students working in the areas of electrical engineering, computing engineering, and computer science as a secondary textbook or reference. Professionals in industry who work in the field of IoT will also find this book useful.

Book details

Book category Books in English Computing & information technology Computer hardware Network hardware

• Full title: Connectivity and Edge Computing in IoT: Customized Designs and AI-based Solutions
• Author: Jie Gao, Mushu Li, Weihua Zhuang
• Language: English
• Binding: Paperback
• Number of pages: 168
• EAN: 9783030887452
• ID: 42074850
• Publisher: Springer, Berlin
• Weight: 291 g
• Dimensions: 235 × 155 × 11 mm
• Published: 2022

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