Crowdsourced smartphone sensing for localization in metro trains

Haibo Ye, Tao Gu, Xianping Tao, Jian Lu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

6 Citations (Scopus)

Abstract

Traditional fingerprint based localization techniques mainly rely on infrastructure support such as RFID, Wi-Fi or GPS. They operate by war-driving the entire space which is both time-consuming and labor-intensive. In this paper, we present M-Loc, a novel infrastructure-free localization system to locate mobile users in a metro line. It does not rely on any Wi-Fi infrastructure, and does not need to war-drive the metro line. Leveraging crowdsourcing, we collect accelerometer, magnetometer and barometer readings on smartphones, and analyze these sensor data to extract patterns. Through advanced data manipulating techniques, we build the pattern map for the entire metro line, which can then be used for localization. We conduct field studies to demonstrate the accuracy, scalability, and robustness of M-Loc. The results of our field studies in 3 metro lines with 55 stations show that M-Loc achieves an accuracy of 93% when travelling 3 stations, 98% when travelling 5 stations.

Original languageEnglish
Title of host publicationProceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, WoWMoM 2014
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages281-289
Number of pages9
ISBN (Electronic)9781479947867
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) - Sydney, Australia
Duration: 19 Dec 201419 Dec 2014

Publication series

NameProceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, WoWMoM 2014

Conference

Conference15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
CountryAustralia
CitySydney
Period19/12/1419/12/14

Keywords

  • Metro train
  • barometer
  • localization
  • magnetometer
  • smartphone

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