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Title Non-normally distributed noise with a high signal-to-noise ratio in the channel of the wireless sensor network information fusion
Journal Name 한국군사과학기술학회지
First Author Jintae Park
Coauthor Gi-Sung Kim, Kiseon Kim
Publication Date 2009.10.01 Link
Acceptance Rate (%) Date 2013-09-06 17:29

Fusion of decisions in wireless sensor networks having flexibility on energy efficiency is studied in this paper. Two representative distributions, the generalized Gaussian and alpha-stable probability density functions, are used to model non-Gaussian noise channels. By incorporating noise channels into the parallel fusion model, the optimal fusion rules are represented and suboptimal fusion rules are derived by using a large signal-to-noise ratio(SNR) approximation. For both distributions, the obtained suboptimal fusion rules are same and have equivalent form to the Chair-Varshney fusion rule(CVR). Thus, the CVR does not depend on the behavior of noise distributions that belong to the generalized Gaussian and alpha-stable probability density functions. The simulation results show the suboptimality of the CVR at large SNRs.
광주과학기술원 한·러 MT-IT 융합기술연구센터 광주과학기술원정보통신공학부