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DOI:	10.1371/journal.pone.0130824
论文题名:	Tracking Human Mobility Using WiFi Signals
作者:	Piotr Sapiezynski; Arkadiusz Stopczynski; Radu Gatej; Sune Lehmann
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-7-1
卷:	10, 期:7
语种:	英语
英文关键词:	Human mobility ; Computer networks ; Cell phones ; Entropy ; Social systems ; Human learning ; Population density ; Telecommunications
英文摘要:	We study six months of human mobility data, including WiFi and GPS traces recorded with high temporal resolution, and find that time series of WiFi scans contain a strong latent location signal. In fact, due to inherent stability and low entropy of human mobility, it is possible to assign location to WiFi access points based on a very small number of GPS samples and then use these access points as location beacons. Using just one GPS observation per day per person allows us to estimate the location of, and subsequently use, WiFi access points to account for 80% of mobility across a population. These results reveal a great opportunity for using ubiquitous WiFi routers for high-resolution outdoor positioning, but also significant privacy implications of such side-channel location tracking.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0130824&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/21180
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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journal.pone.0130824.PDF（2467KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark;Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark;Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America;Department of Economics, University of Copenhagen, Copenhagen, Denmark;Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark;Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark

Recommended Citation:

Piotr Sapiezynski,Arkadiusz Stopczynski,Radu Gatej,et al. Tracking Human Mobility Using WiFi Signals[J]. PLOS ONE,2015-01-01,10(7)

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