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When Compressive Sensing Meets Mobile Crowdsensing

  • Linghe Kong
  • Bowen  Wang
  • Guihai Chen
Book

Table of contents

  1. Front Matter
    Pages i-xii
  2. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 1-4
  3. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 5-16
  4. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 17-25
  5. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 27-48
  6. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 49-67
  7. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 69-89
  8. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 91-105
  9. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 107-124
  10. Linghe Kong, Bowen Wang, Guihai Chen
    Pages 125-127

About this book

Introduction

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, preserving user privacy, and detecting false data.

Mobile crowdsensing, as an emerging sensing paradigm, enables the masses to take part in data collection tasks with the aid of powerful mobile devices. However, mobile crowdsensing platforms have yet to be widely adopted in practice, the major concern being the quality of the data collected. There are numerous causes: some locations may generate redundant data, while others may not be covered at all, since the participants are rarely systematically coordinated; privacy is a concern for some people, who don’t wish to share their real-time locations, and therefore some key information may be missing; further, some participants may upload fake data in order to fraudulently gain rewards. To address these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer an effective solution.

 


Keywords

Mobile Crowdsensing Compressive Sensing Data Recovery Matrix Completion Privacy Preservation Fault Detection

Authors and affiliations

  • Linghe Kong
    • 1
  • Bowen  Wang
    • 2
  • Guihai Chen
    • 3
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.ByteDance Ltd.BeijingChina
  3. 3.Department of Computer ScienceNanjing UniversityNanjingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-7776-1
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-7775-4
  • Online ISBN 978-981-13-7776-1
  • Buy this book on publisher's site
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