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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haibo Ye Tao Gu Xianping Tao Jian Lu |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Comput. Sci. & IT, RMIT Univ., Melbourne, VIC, Australia (Tao Gu) || State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China (Haibo Ye; Xianping Tao; Jian Lu) |
| 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. |
| Starting Page | 1 |
| Ending Page | 9 |
| File Size | 1194540 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479947867 |
| DOI | 10.1109/WoWMoM.2014.6918958 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-19 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accelerometers localization IEEE 802.11 Standards Magnetometers Metro train smartphone magnetometer Fingerprint recognition Mobile communication barometer Acceleration Pattern matching |
| Content Type | Text |
| Resource Type | Article |
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