Decision Fusion with Wireless Sensor Networks under Single-sideband Gaussian Fading Channel
Decision fusion rules for wireless sensor networks in fading channel are investigated in this paper. Optimal Likelihood ratio rule has been presented under the assumption of Single-sideband Gaussian channel model. However, acquiring channel information may be too costly for resource constrained sensor networks. Subopimal likelihood ratio fusion rule is proposed which requires only the knowledge of channel statistics. Theoretical analysis and simulations show that subopimal fusion rule needs much less computation and information, yet exhibits only slight performance degradation. Subopimal fusion rules are practicable for decision fusion system in resource constrained wireless sensor networks.
Wei Chen Ying-zheng Hong Ping-ping Wang
Shanghai Fire Research Institute of Ministry of Public Security, Shanghai, 200438 China
国际会议
2009国际通信电路与系统学术会议(ICCCAS 2009)(2009 International Conference on Communications，Circuits and Systems)
成都
英文
210-212
2009-07-23（万方平台首次上网日期，不代表论文的发表时间）