Wireless Indoor Localization A Crowdsourcing Approach
This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization
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Wireless Indoor Localization A Crowdsourcing Approach
Wireless Indoor Localization
Chenshu Wu • Zheng Yang • Yunhao Liu
Wireless Indoor Localization A Crowdsourcing Approach
123
Chenshu Wu University of Maryland College Park, Maryland, USA
Zheng Yang School of Software Tsinghua University Beijing, China
Yunhao Liu School of Software Tsinghua University Beijing, China
ISBN 978-981-13-0355-5 ISBN 978-981-13-0356-2 (eBook) https://doi.org/10.1007/978-981-13-0356-2 Library of Congress Control Number: 2018948837 © Springer Nature Singapore Pte Ltd. 2018 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 Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
Location-based technology surely ranks as one of the most important breakthrough for modern life. Localization techniques underlie the foundation of Internet of Things, while location information contributes one type of the most critical big data nowadays. With the proliferation of mobile computing, location-based services have shaped and enabled a wide range of applications from vehicle navigation to logistical supply chain management and to personal location sharing. While GPS dominates outdoor localization and becomes an essential element of the global information infrastructure like the Internet, indoor localization also attracts people’s attention. Indoor location holds important values for various applications, including resource and infrastructure management, smart home and smart building monitoring, retails and sports analytics, mall navigation, virtual reality, etc. The past decades have witnessed the fast conceptualization and development of wireless indoor localization. Among numerous technologies, WiFi fingerprint-based approach has become
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