Joint Estimation and Gossip Averaging for Sensor Network Applications

Nicolas Maréchal 1, 2 Jean-Benoit Pierrot 2 Jean-Marie Gorce 1
1 SWING - Smart Wireless Networking
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
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.
Type de document :
Article dans une revue
IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 2010, 55 (5), pp.1208-1213. 〈10.1109/TAC.2010.2042233〉
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https://hal.inria.fr/inria-00499407
Contributeur : Jean-Marie Gorce <>
Soumis le : vendredi 9 juillet 2010 - 14:22:34
Dernière modification le : lundi 24 septembre 2018 - 10:56:04

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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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