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Consensus‐based distributed sensor calibration and least‐square parameter identification in WSNs
Author(s) -
Bolognani Saverio,
Del Favero Simone,
Schenato Luca,
Varagnolo Damiano
Publication year - 2009
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1452
Subject(s) - wireless sensor network , computer science , computation , identification (biology) , channel (broadcasting) , square (algebra) , constant (computer programming) , calibration , distributed algorithm , algorithm , network topology , topology (electrical circuits) , mathematical optimization , distributed computing , real time computing , mathematics , computer network , statistics , botany , geometry , combinatorics , programming language , biology
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 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 either on the global topology of the network nor the total number of nodes. Finally, we apply these algorithms to experimental data collected from an indoor WSN. Copyright © 2009 John Wiley & Sons, Ltd.