Decision fusion for Wireless Sensor Networks under Nakagami fading channels

Abstract

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.