DocumentCode :
1866191
Title :
Distributed estimation with convolutional coding in wireless sensor networks
Author :
Wu, Liang ; Liu, Yanbing
Author_Institution :
Department of Computer Science, Guangdong University of Education, Guangzhou, 510310, China
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
919
Lastpage :
922
Abstract :
The problem of distributed estimation of an unknown noise-corrupted parameter in wireless sensor networks (WSNs) is considered in this paper. Because of the impact of noise channels, convolutional coding is used to protect the transmission of sensor observations here. To minimize the total power consumption, a novel kinds of power scheduling is derived. The formulas of the proposed power scheduling suggest local sensors with poor observation qualities should decrease their quantization levels and the levels should be also related to coding methods, channel qualities, given mean squared error (MSE) and local signal-to-noise ratio (SNR). Finally, simulation results show that not only is the scheme energy-efficient but also it achieves comparable performance of a given MSE.
Keywords :
convolutional coding; distributed estimation; wireless sensor networks;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1125
Filename :
6492732
Link To Document :
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