DocumentCode :
2903968
Title :
An Optimal Power Allocation Algorithm in Distributed Sensing
Author :
Zhang, Xuefen ; Yin, Changchuan ; Yue, Guangxin
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2010
fDate :
23-27 May 2010
Firstpage :
1
Lastpage :
5
Abstract :
We propose a optimal power allocation algorithm for Distributed Sensing networks under the assumption of a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. Each node computes a local statistic and communicates it to the fusion center over rayleigh fading wireless channels. At the fusion, the linear minimum mean square error (LMMSE) is used. Sensor networks in which energy is a limited resource, our goal is to minimize the distortion under certain power constraints. In this paper, for a given power constraints, equal power transmission strategy and the optimal power allocation strategy is considered. In the later, we first discuss the problem with only a sum power constraint, and then discuss the general case with both sum and individual power constraints. Finally, we demonstrate the applicability of our results through numerical examples. Result shows that the optimal distributed estimation algorithm for homogeneous sensor networks achieves the power gain by turning off sensors that with bad channels and bad observation quality.
Keywords :
Rayleigh channels; least mean squares methods; sensor fusion; statistical analysis; wireless sensor networks; Rayleigh fading wireless channels; distributed sensing network; equal power transmission strategy; fusion center; homogeneous sensor network; linear minimum mean square error; local statistic; optimal distributed estimation algorithm; optimal power allocation algorithm; optimal power allocation strategy; power constraints; Communications Society; Computer science education; Distributed computing; Fading; Laboratories; Sensor fusion; Sensor phenomena and characterization; Signal to noise ratio; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
ISSN :
1550-3607
Print_ISBN :
978-1-4244-6402-9
Type :
conf
DOI :
10.1109/ICC.2010.5502151
Filename :
5502151
Link To Document :
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