SatProbe: Low-Energy and Fast Indoor/Outdoor Detection via Satellite Existence Sensing
SatProbe: Low-Energy and Fast Indoor/Outdoor Detection via Satellite Existence Sensing
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SatProbe：通过卫星存在感测进行低能量快速室内/室外检测
DOI：
10.1109/tmc.2019.2954873
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发表时间：
2021-03
影响因子：
7.9
通讯作者：
Tan Guang
中科院分区：
文献类型：
--
作者：
Chen Kongyang;Tan Guang
室内-室外（IO）检测为移动终端执行上下文感知服务提供了非常有用的提示。为此，GPS通过将设备的IO状态与其定位性能（取决于设备在开阔天空中的暴露程度）关联起来，提供了一个可行的解决方案。然而，这种方法在能量消耗和响应时间方面过于昂贵。因此，最近的工作集中在利用低能量传感器，如光，细胞，和磁传感器间接推断IO状态，在降低适应性或手动标记工作的成本。在这篇文章中，我们提出了一种新的方法来解决这些问题。我们的方法，称为SatProbe，恢复到GPS方法的直接性和鲁棒性，但避免了其缺点，只提取可见卫星的数量从原始GPS数据，而不是经过大量的计算，以获得最终的位置。该指标提供了IO状态的明确指示，但可以非常高效地获得。在79个原始GPS轨迹上进行的实验表明，与标准GPS方法相比，SatProbe的检测精度提高了14.2%，能量使用和检测时间减少了98.8%。
Indoor-outdoor (IO) detection provides very useful hints for a mobile device to perform context-aware services. To that end, GPS presents a viable solution by relating a device's IO status with its positioning performance, which depends on the device's exposure to the open sky. This approach, however, is prohibitively expensive in terms of energy consumption and response time. Recent work has thus been focused on exploiting low-energy sensors such as light, cellular, and magnetic sensors to infer the IO status indirectly, at the cost of reduced adaptability or manual labeling effort. In this article, we propose a new method to address these problems. Our method, called SatProbe, reverts to the GPS approach for its directness and robustness, but avoids its drawback by extracting only the number of visible satellites from the raw GPS data, instead of going through extensive computation to obtain a final position. This metric provides a clear indicator of the IO status, yet can be obtained with great efficiency. Experiments on 79 raw GPS traces with 2595 detection points across a variety of environments show that SatProbe produces a 14.2 percent improvement in detection accuracy, with a 98.8 percent reduction in both energy use and detection time, in comparison with the standard GPS method.
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影响因子：
7.9
作者：
Yu-Chih Tung;K. Shin
通讯作者：
Yu-Chih Tung;K. Shin
影响因子：
6.8
作者：
Binhee Kim;S. Kong
通讯作者：
Binhee Kim;S. Kong
DOI：
10.1145/1555816.1555834
发表时间：
2009-06
期刊：
--
影响因子：
--
作者：
Hong Lu;Wei Pan;N. Lane;Tanzeem Choudhury;A. Campbell
通讯作者：
Hong Lu;Wei Pan;N. Lane;Tanzeem Choudhury;A. Campbell
DOI：
10.1145/2426656.2426668
发表时间：
2012-11
期刊：
--
影响因子：
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作者：
Pengfei Zhou;Yuanqing Zheng;Zhenjiang Li;Mo Li;G. Shen
通讯作者：
Pengfei Zhou;Yuanqing Zheng;Zhenjiang Li;Mo Li;G. Shen
DOI：
10.1145/1460412.1460445
发表时间：
2008-11
期刊：
--
影响因子：
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作者：
E. Miluzzo;N. Lane;K. Fodor;Ronald A. Peterson;Hong Lu;Mirco Musolesi;S. Eisenman;Xiao Zheng
通讯作者：
E. Miluzzo;N. Lane;K. Fodor;Ronald A. Peterson;Hong Lu;Mirco Musolesi;S. Eisenman;Xiao Zheng