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Wireless Indoor Localization

A Crowdsourcing Approach

  • Chenshu Wu
  • Zheng Yang
  • Yunhao Liu

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Part I

    1. Front Matter
      Pages 1-1
    2. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 3-16
    3. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 17-30
  3. Part II

    1. Front Matter
      Pages 31-31
    2. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 33-57
    3. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 59-80
  4. Part III

    1. Front Matter
      Pages 81-81
    2. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 83-107
    3. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 109-136
  5. Part IV

    1. Front Matter
      Pages 137-137
    2. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 139-163
    3. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 165-191
    4. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 193-215
  6. Part V

    1. Front Matter
      Pages 217-217
    2. Chenshu Wu, Zheng Yang, Yunhao Liu
      Pages 219-220

About this book

Introduction

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 solutions and has attracted considerable attention from both the academic and industrial communities.

Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas. 

Keywords

Indoor Location System Indoor Positioning System Indoor Localization WiFi Fingerprint Personal Computing Crowdsourcing Ubiquitous application

Authors and affiliations

  • Chenshu Wu
    • 1
  • Zheng Yang
    • 2
  • Yunhao Liu
    • 3
  1. 1.University of MarylandCollege ParkUSA
  2. 2.School of SoftwareTsinghua UniversityBeijingChina
  3. 3.School of SoftwareTsinghua UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-0356-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-0355-5
  • Online ISBN 978-981-13-0356-2
  • Buy this book on publisher's site
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