Connectivity and edge computing in IoT : customized designs and AI-based solutions / Jie Gao, Mushu Li, Weihua Zhuang.
Gao, Jie, author.; Li, Mushu, author.; Zhuang, Weihua, author.
2021
TK5105.8857 .G36 2021
Available Online

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Title Connectivity and edge computing in IoT : customized designs and AI-based solutions / Jie Gao, Mushu Li, Weihua Zhuang.
Author Gao, Jie, author.
ISBN 9783030887438 (electronic bk.)
303088743X (electronic bk.)
9783030887421
3030887421
DOI https://doi.org/10.1007/978-3-030-88743-8
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (xiv, 168 pages) : illustrations (some color)
Other Standard Identifiers 10.1007/978-3-030-88743-8 doi
Call Number TK5105.8857 .G36 2021
Dewey Decimal Classification 004.67/8
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 6, 2021).
Added Author Li, Mushu, author.
Zhuang, Weihua, author.
Series Wireless networks (Springer (Firm)) 2366-1445
Available in Other Form Connectivity and edge computing in IoT.
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Introduction
Industrial Internet of Things : smart factory
UAV-assisted edge computing : rural IoT applications
Collaborative computing for Internet of Vehicles
Edge-assisted mobile VR
Conclusions.

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