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MOBICOM
2004
ACM

Practical robust localization over large-scale 802.11 wireless networks

13 years 8 months ago
Practical robust localization over large-scale 802.11 wireless networks
We demonstrate a system built using probabilistic techniques that allows for remarkably accurate localization across our entire office building using nothing more than the built-in signal intensity meter supplied by standard 802.11 cards. While prior systems have required significant investments of human labor to build a detailed signal map, we can train our system by spending less than one minute per office or region, walking around with a laptop and recording the observed signal intensities of our building’s unmodified base stations. We actually collected over two minutes of data per office or region, about 28 man-hours of effort. Using less than half of this data to train the localizer, we can localize a user to the precise, correct location in over 95% of our attempts, across the entire building. Even in the most pathological cases, we almost never localize a user any more distant than to the neighboring office. A user can obtain this level of accuracy with only two or thr...
Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd,
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MOBICOM
Authors Andreas Haeberlen, Eliot Flannery, Andrew M. Ladd, Algis Rudys, Dan S. Wallach, Lydia E. Kavraki
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