DocumentCode :
2420352
Title :
Power-efficient estimation in sensor networks with correlated data: Perfect and imperfect CSI
Author :
Chaudhary, Muhammad Hafeez ; Vandendorpe, Luc
Author_Institution :
ICTEAM Inst., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
fYear :
2010
fDate :
Sept. 29 2010-Oct. 1 2010
Firstpage :
333
Lastpage :
340
Abstract :
This paper considers power allocation problem in wireless sensor networks where distributed sensors amplify and forward their observations of a Gaussian random source to a remote fusion center (FC) which reconstructs the underlying source. The sensor networks are characterized by the availability of limited energy. Motivated by this fact, we design a power allocation scheme where our objective is to minimize the network power consumption such that the reconstruction distortion does not exceed a target value. The reconstruction distortion is quantified based on linear minimum mean-squared error (LMMSE) estimation rule. For power allocation, we propose a novel design based on successive approximation of the distortion function. The resulting algorithm turns out to be simple, computationally efficient and exhibits good convergence properties. The design is based on perfect knowledge of fading channel gains. We also address the case where only estimates of the channel gains are available. The simulation examples illustrate that the proposed design holds considerable performance gain compared to a uniform power allocation scheme.
Keywords :
Gaussian processes; fading channels; least mean squares methods; signal reconstruction; wireless sensor networks; CSI; Gaussian random source; LMMSE estimation; fading channel gain; linear minimum mean-squared error estimation; power allocation scheme; power consumption; power-efficient estimation; reconstruction distortion; remote fusion center; wireless sensor networks; Channel estimation; Correlation; Estimation error; Noise; Optimization; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on
Conference_Location :
Allerton, IL
Print_ISBN :
978-1-4244-8215-3
Type :
conf
DOI :
10.1109/ALLERTON.2010.5706925
Filename :
5706925
Link To Document :
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