Fusion of Decisions in Wireless Sensor Networks under Non-Gaussian Noise Channels at Large SNR

Park, Jin-Tae; Kim, Gi-Sung; Kim, Ki-Seon

Journal of the Korea Institute of Military Science and Technology 2009;12(5):577-584.

Jin-Tae Park, Gi-Sung Kim, Ki-Seon Kim

¹Gwangju Institute of Science and Technology
²

비 정규 분포 잡음 채널에서 높은 신호 대 잡음비를 갖는 무선 센서 네트워크의 정보 융합

박진태, 김기성, 김기선

¹광주과학기술원
²국방과학연구소

Abstract

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.

Key Words: Data Fusion, Wireless Sensor Network, Non-Gaussian Noise