Model identification for Wireless Sensor Networks

TitleModel identification for Wireless Sensor Networks
Publication TypeJournal Article
Year of Publication2007
AuthorsOka, A., and L. Lampe
JournalGLOBECOM 2007: 2007 IEEE GLOBAL Telecommunications Conference, Vols 1-11

In many lifetime enhancement strategies for Wireless Sensor Networks (WSNs) it is often necessary to identify, the statistical model of the underlying physical field. We consider the problem of in-situ inference as an exemplary application and propose all in-situ model estimation algorithm that works in tandem with a parametric distributed filtering procedure. We demonstrate, via averaged-gradient analysis and simulations, that the resulting adaptive filter is stable, robust and, importantly, fully scalable. It compares favorably with kernel-regression inference, and typically, significantly outperforms the latter when the spatio-temporal variations in the natural field are relatively rapid.

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