PlaceWalker: An energy-efficient place logging method that considers kinematics of normal human walking

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Fine-grained place logging with Wi-Fi beacon signatures provides a useful tool for delivering various semantic location-aware services such as reminders and advertisements. Existing solutions however heavily rely on energy-hungry periodic Wi-Fi scanning for place detection in resource limited mobile devices. In this paper, we present PlaceWalker, a scheme that uses a low-power duty-cycled accelerometer in the background to continuously monitor user's significant physical activity changes (e.g., walking to resting) as it provides a useful clue to the change of place. Unlike existing schemes, PlaceWalker triggers Wi-Fi scanning only when such an activity shift is detected and then determines a change of place by comparing Wi-Fi signatures. Our experimental results verify that detecting significant activity intensity changes can precisely capture arrival/departure times, and PlaceWalker substantially lowers the energy consumption by as much as 60.9%, when compared with the state-of-the-art method. We also analyze the experimental results with a simple analytic model and validate its efficiency under varying parameter settings.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2015-05
Language
English
Article Type
Article
Citation

PERVASIVE AND MOBILE COMPUTING, v.19, pp.24 - 36

ISSN
1574-1192
DOI
10.1016/j.pmcj.2014.04.001
URI
http://hdl.handle.net/10203/198693
Appears in Collection
IE-Journal Papers(저널논문)CS-Journal Papers(저널논문)
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