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
Pagination3013–3018
ISSN1930-529X
Abstract

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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