B-Loc: Scalable Floor Localization Using Barometer on Smartphone
B-Loc: Scalable Floor Localization Using Barometer on Smartphone
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DOI:
10.1109/mass.2014.49
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发表时间:
2014-10
期刊:
影响因子:
--
通讯作者:
Haibo Ye;Tao Gu;Xianping Tao;Jian Lu
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文献类型:
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作者:
Haibo Ye;Tao Gu;Xianping Tao;Jian Lu
Traditional fingerprint based localization techniques mainly rely on infrastructure support such as GSM and Wi-Fi. They require war-driving which is both time-consuming and labor-intensive. With recent advances of smartphone sensors, sensor-assisted localization techniques are emerging. However, they often need user-specific training and more power intensive sensing, resulting in infeasible solutions for real deployment. In this paper, we present B-Loc, a novel floor localization system to identify the floor level in a multi-floor building on which a mobile user is located. It makes use of the barometer on smartphone only. B-Loc does not rely on any Wi-Fi infrastructure and requires neither war-driving nor prior knowledge of the buildings. Leveraging on crowd sourcing, B-Loc builds the barometer fingerprint map which contains the barometric pressure value for each floor level to locate users' floor levels. We conduct both simulation and field studies to demonstrate the accuracy, scalability, and robustness of B-Loc. Our field study in a 10-floor building shows that B-Loc achieves an accuracy of over 98%.