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Bolognani, Saverio and Del Favero, Simone and Schenato, Luca and Varagnolo, Damiano (2008) Consensus–based distributed sensor calibration and least–square parameter identification in WSNs. [Journal papers (printed)] (Inedito)

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Abstract (english)

In this paper we study the problem of estimating the channel parameters for a generic wireless sensor network (WSN) in a completely distributed manner, using consensus algorithms. Specifically, we first propose a distributed strategy to minimize the effects of unknown constant offsets in the reading of the Radio Strength Signal Indicator (RSSI) due to uncalibrated sensors. Then we show how the computation of the optimal wireless channels parameters, which are the solution of a global least-square optimization problem, can be obtained with a consensus-based algorithm. The proposed algorithms are general algorithms for sensor calibration and distributed least-square parameter identification, and do not require any knowledge on the global topology of the network nor the total number of nodes.
Finally, we applied these algorithms to experimental data collected from an indoor wireless sensor network.

EPrint type:Journal papers (printed)
Anno di Pubblicazione:2008
Key Words:distributed computing, sensor calibration, least-square estimation, parameter identification, consensus, wireless sensor networks
Settori scientifico-disciplinari MIUR:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Struttura di riferimento:Dipartimenti > Dipartimento di Ingegneria dell'Informazione
Codice ID:1061
Depositato il:03 Sep 2008
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