会议专题

Decision fusion in mixing two-hop cluster based wireless sensor networks

In this paper, we derive optimal likelihood based fusion rule and sub-optimal rule in mixing two-hop cluster based wireless sensor networks. The likelihood ratio rule has been shown the most optimal. However, it acquires channel knowledge and node performance which is not easily available for resource constrained sensor networks. The suboptimal fusion rules need less computation and information. Simulation shows that sub-optimal fusion rules approach the optimal rule at different SNR.

wireless sensor networks fusion rule fading channel performance analysis

Rong Zhou

Department of Automation Nanjing University of Post and Telecommunications Nanjing Jiangsu, China

国际会议

2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

长沙

英文

1097-1100

2010-05-11(万方平台首次上网日期,不代表论文的发表时间)