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Joint Estimation and Gossip Averaging for Sensor Network Applications

Abstract : This note presents an efficient distributed approach for computing a spatial average of parameters estimated by sensors in a wireless network. The most intuitive approach would rely on a two-step procedure. First, the nodes would estimate the local quantities, and second a distributed process would average these estimates over the network. Instead, the proposed algorithm combines both processes to foster the convergence while fulfilling the usual wireless sensor network requirements: simplicity, low memory/CPU usage, and asynchronicity.
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Contributor : Jean-Marie Gorce Connect in order to contact the contributor
Submitted on : Friday, July 9, 2010 - 2:22:34 PM
Last modification on : Friday, February 4, 2022 - 3:23:19 AM




Nicolas Maréchal, Jean-Benoit Pierrot, Jean-Marie Gorce. Joint Estimation and Gossip Averaging for Sensor Network Applications. IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2010, 55 (5), pp.1208-1213. ⟨10.1109/TAC.2010.2042233⟩. ⟨inria-00499407⟩



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