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Information-theoretic node scheduling in collaborative sensor networks

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Abstract

In this contribution, we propose an efficient collaborative online filter in a wireless sensor network under communication constraints. The observed system is assumed to evolve according to a non linear state-space model. The distributed intelligent sensors collaborate to estimate the marginal probability of the hidden continuous state, within a Bayesian framework. The communication protocol relies on the activation of only few nodes. The selection of the leader node, through time, and its spatially collaborating nodes is based on a trade-off between data relevance (measured by an information criteria), message approximation error and communication constraints.

Dates and versions

hal-02319942 , version 1 (18-10-2019)

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Hichem Snoussi, Cédric Richard. Information-theoretic node scheduling in collaborative sensor networks. 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA), Feb 2007, Sharjah, United Arab Emirates. pp.1-4, ⟨10.1109/ISSPA.2007.4555503⟩. ⟨hal-02319942⟩
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