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:
2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems
影响因子:
--
通讯作者:
Haibo Ye;Tao Gu;Xianping Tao;Jian Lu
Haibo Ye;Tao Gu;Xianping Tao;Jian Lu
中科院分区:
其他
文献类型:
--
作者:
Haibo Ye;Tao Gu;Xianping Tao;Jian Lu

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传统的基于指纹的定位技术主要依赖于GSM和Wi-Fi等基础设施的支持。它们需要战争驱动,这既费时又费力。随着智能手机传感器的最新进展,传感器辅助定位技术正在出现。然而,它们通常需要特定于用户的训练和更高功率密集型的感测,从而导致不可行的解决方案用于真实的部署。在本文中,我们提出了B-Loc,这是一种新型的楼层定位系统,用于识别移动的用户所在的多层建筑物的楼层。它只使用智能手机上的气压计。B-Loc不依赖任何Wi-Fi基础设施,既不需要战争驾驶,也不需要事先了解建筑物。利用众包,B-Loc建立气压指纹地图,其中包含每个楼层的气压值,以定位用户的楼层。我们进行模拟和现场研究,以证明B-Loc的准确性,可扩展性和鲁棒性。我们在一栋10层建筑中的实地研究表明,B-Loc的准确率超过98%。
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%.