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WLAN location determination via clustering and probability distributions

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3 Author(s)
M. A. Youssef ; Dept. of Comupter Sci., Maryland Univ., College Park, MD, USA ; A. Agrawala ; A. Udaya Shankar

We present a WLAN location determination technique, the Joint Clustering technique, that uses: (1) signal strength probability distributions to address the noisy wireless channel, and (2) clustering of locations to reduce the computational cost of searching the radio map. The Joint Clustering technique reduces computational cost by more than an order of magnitude, compared to the current state of the art techniques, allowing non-centralized implementation on mobile clients. Results from 802.11-equipped iPAQ implementations show that the new technique gives user location to within 7 feet with over 90% accuracy.

Published in:

Pervasive Computing and Communications, 2003. (PerCom 2003). Proceedings of the First IEEE International Conference on

Date of Conference:

26-26 March 2003