Abstract
We present location clustering as a technique to significantly reduce the computational requirements of WLAN location determination systems. We provide two algorithms, joint clustering and incremental triangulation, and describe their trade-offs between computational cost and location determination accuracy. Both techniques reduce computational cost by more than an order of magnitude, allowing noncentralized implementation on mobile clients and enabling new context-aware applications. We present a performance comparison of the two techniques in an actual testbed implementation.
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