Crowdsourced smartphone sensing for localization in metro trains

Ye, H and Gu, T 2014, 'Crowdsourced smartphone sensing for localization in metro trains', in A. Seneviratne (ed.) Proceedings of the 15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2014), Sydney, Australia, 16-19 June 2014, pp. 1-9.


Document type: Conference Paper
Collection: Conference Papers

Title Crowdsourced smartphone sensing for localization in metro trains
Author(s) Ye, H
Gu, T
Year 2014
Conference name 15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
Conference location Sydney, Australia
Conference dates 16-19 June 2014
Proceedings title Proceedings of the 15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2014)
Editor(s) A. Seneviratne
Publisher IEEE
Place of publication United States
Start page 1
End page 9
Total pages 9
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 MLoc, 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.
Subjects Information Systems not elsewhere classified
Distributed Computing not elsewhere classified
Keyword(s) Metro train
smartphone
localization
barometer
magnetometer
DOI - identifier 10.1109/WoWMoM.2014.6918958
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