Multi-sample clustering decision fusion for distributed target detection in wireless sensor networks

摘要：

　　In this paper,we revisit the problem of target detection in wireless sensor networks (WSNs).Because that the practical environment of WSNs is very complex,and usually the target signal is mixed with a lot of random noises,the phenomenon impacts the performance of target detection experiment.This paper set forth a new way to improve the system performance.We introduce gather multiple sample when we get the observation signals.After obtaining the samples,we calculate the judgments of each sensor by fusion rule.At last local sensors transfer their judgments to the fusion center.We prove that the method is better than single sample through Monte Carlo experiments because of the full use of the observation signals.

关键词： wireless sensor network distributed target detection Neyman-Pearson criterion 0-1 decision fusion

作者: CHEN Lei HUANG Hai-ping WANG Ru-chuan QIN Xiao-lin WANG Qian-yi

作者单位: College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Jiangsu College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Jiangsu College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Jiangsu College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjin College of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

会议类型: 国内会议

会议名称: 第六届中国传感器网络学术会议(CWSN 2012)

会议地点: 黄山

会议语种:英文

页码: 42-46,127

在线出版日期: 2012-10-25（万方平台首次上网日期，不代表论文的发表时间）