Fog-Enabled Intelligent IoT Systems
This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill t
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bled Intelligent IoT Systems
Fog-Enabled Intelligent IoT Systems
Yang Yang • Xiliang Luo • Xiaoli Chu Ming-Tuo Zhou
Fog-Enabled Intelligent IoT Systems
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Yang Yang ShanghaiTech University Shanghai Institute of Fog Computing Technology (SHIFT) School of Information Science and Technology Shanghai, China
Xiliang Luo ShanghaiTech University Shanghai Institute of Fog Computing Technology (SHIFT) School of Information Science and Technology Shanghai, China
Xiaoli Chu Department of Electronic & Electrical Engineering University of Sheffield Sheffield, UK
Ming-Tuo Zhou Chinese Academy of Sciences Shanghai Institute of Microsystem and Information Technology Shanghai, China
ISBN 978-3-030-23184-2 ISBN 978-3-030-23185-9 (eBook) https://doi.org/10.1007/978-3-030-23185-9 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
To our families—Yang Yang, Xiliang Luo, Xiaoli Chu, Ming-Tuo Zhou
Preface
This book is focused on the potentials, opportunities, and challenges of fog computing in developing and deploying intelligent IoT systems and services. Specifically, Chap. 1 reviews key IoT technologies and several applications, which include not only simple data sensing, collection, and representation but also complex information extraction and behavior analysis. As 5G mobile networks are beginning to be commercially deployed worldwide, intelligent IoT applications and services are getting more and more important and popular in different business sectors and industrial domains, thanks to more communication bandwidth, better data quality, faster data rate, denser network connectivity, lower transmission latency, and higher system reliability. Chapter 2 introduces
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