Detecting wi-fi base station behavior inappropriate for positioning method in participatory sensing logs

Authors:
Nobuhiko Nishio;Yuuki Fukuzaki;Takuya Azumi
Affiliations:
Ritsumeikan University, Kusatsu, Shiga, Japan;Ritsumeikan University, Kusatsu, Shiga, Japan;Ritsumeikan University, Kusatsu, Shiga, Japan
Venue:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Year:
2013

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Abstract

Recently mobile base stations are getting increased, which is considered harmful for the Wi-Fi positioning methods. In this paper, three approaches for detecting Wi-Fi base station behaviors inappropriate for Wi-Fi signature sampling are introduced and their performance evaluations are presented. First approach is for outdoor environment using GPS or Wi-Fi, second for indoor environment using Wi-Fi and accelerometers and last for the first contact stations using the Bayesian estimation method. Bayesian estimation is fine for stationary stations but much severe for mobile stations.