DocumentCode :
2659525
Title :
Adaptive distributed algorithms for power-efficient data gathering in sensor networks
Author :
Acimovic, Jugoslava ; Beferull-Lozano, Baltasar ; Cristescu, Razvan
Author_Institution :
Lab. of Nonlinear Syst., EPFL, Lausanne, Switzerland
Volume :
2
fYear :
2005
fDate :
13-16 June 2005
Firstpage :
946
Abstract :
In this work, we consider the problem of designing adaptive distributed processing algorithms in large sensor networks that are efficient in terms of minimizing the total power spent for gathering the spatially correlated data from the sensor nodes to a sink node. We take into account both the power spent for purposes of communication as well as the power spent for local computation. Our distributed algorithms are also matched to the nature of the correlated field, namely, for piecewise smooth signals, we provide two distributed multiresolution wavelet-based algorithms, while for correlated Gaussian fields, we use distributed prediction based processing. In both cases, we provide distributed algorithms that perform network division into groups of different sizes. The distribution of the group sizes within the network is the result of an optimal trade-off between the local communication inside each group needed to perform decorrelation, the communication needed to bring the processed data (coefficients) to the sink and the local computation cost, which grows as the network becomes larger. Our experimental results show clearly that important gains in power consumption can be obtained with respect to the case of not performing any distributed decorrelating processing.
Keywords :
adaptive signal processing; data communication; distributed algorithms; signal resolution; wavelet transforms; wireless sensor networks; adaptive distributed algorithms; distributed multiresolution wavelet-based algorithms; piecewise smooth signals; power-efficient data gathering; sensor networks; Algorithm design and analysis; Computer networks; Decorrelation; Distributed algorithms; Distributed computing; Distributed processing; Process design; Signal processing; Signal resolution; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Networks, Communications and Mobile Computing, 2005 International Conference on
Print_ISBN :
0-7803-9305-8
Type :
conf
DOI :
10.1109/WIRLES.2005.1549540
Filename :
1549540
Link To Document :
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