DECISION FUSION FOR WIRELESS SENSOR NETWORKS UNDER NAKAGAMI FADING CHANNELS  

作　　者：Yuan Xiaoguang Yang Wanhai Shi Lin 

机构地区：[1]School of Electronic Engineering, Xidian University, Xi＇an 710071, China

出　　处：《Journal of Electronics(China)》2010年第2期177-182,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60772139)

摘　　要：Decision fusion rules for Wireless Sensor Networks (WSNs) under Nakagami fading channels are investigated in this paper. Considering the application limitation of Likelihood Ratio Test fusion rule based on information of Channel Statistics using Series expansion (LRT-CSS),and the detection performance limitation of the Censoring based Mixed Fusion rule (CMF),a new LRT fusion rule based on information of channel statistics has been presented using Laplace approximation (LRT-CSL). Theoretical analysis and simulations show that the proposed fusion rule provides better detection performance than the Censoring based Mixed Fusion (CMF) and LRT-CSS fusion rules. Furthermore,compared with LRT-CSS fusion rule,the proposed fusion rule expands the application range of likelihood ratio test fusion rule.Decision fusion rules for Wireless Sensor Networks （WSNs） under Nakagami fading channels are investigated in this paper. Considering the application limitation of Likelihood Ratio Test fusion rule based on information of Channel Statistics using Series expansion （LRT-CSS）, and the detection performance limitation of the Censoring based Mixed Fusion rule （CMF）, a new LRT fusion rule based on information of channel statistics has been presented using Laplace approximation （LRT-CSL）. Theoretical analysis and simulations show that the proposed fusion rule provides better detection performance than the Censoring based Mixed Fusion （CMF） and LRT-CSS fusion rules. Furthermore, compared with LRT-CSS fusion rule, the proposed fusion rule expands the application range of likelihood ratio test fusion rule.

关 键 词：Nakagami fading channels Wireless Sensor Network （WSN） Decision fusion 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]