期刊文献+

基于无约束插值法的无线传感网络故障节点检测研究

Research on Fault Node Detection in Wireless Sensor Network Based on Unconstrained Interpolation
下载PDF
导出
摘要 在无线传感网络故障节点检测的过程中,由于不同节点的约束条件不同,会对故障定位过程中的阈值判断过程造成干扰,造成故障节点检测精度差、误报率高、节点传输能耗高等问题。为解决上述问题,提出基于无约束插值法的无线传感网络故障节点检测方法。利用约束插值法预测节点位置,定位节点的位置,采用提取节点的特征,通过矢量量化技术识别故障节点,利用阈值修正模块判断故障类型,完成在无约束条件下的无线传感网络故障节点检测。实验分析结果表明,当节点数量为100个时,无线传感网络故障节点检测结果的准确度最高,此时所提方法的故障检测精度为95%、误报率为18%,传输能耗为0.25 J。 In the process of fault node detection in wireless sensor networks,different constraints of different nodes will interfere with the threshold judgment process in the fault location process,resulting in poor node detection accuracy,high false alarm rate,and high node transmission energy consumption.To solve the above problems,a method for detecting fault nodes in wireless sensor networks based on unconstrained interpolation is proposed.The constrained interpolation method is used to predict the node position,locate the node posi-tion,extract the characteristics of the node,identify the fault node through the vector quantization technology,use the threshold correction module to judge the fault type,and complete the wireless sensor network fault node detection under unconstrained conditions.The experimental analysis results show that when the number of nodes is 100,the accuracy of the fault node detection of the wireless sensor network is the best.At this time,the fault detection accuracy of the method is 95%,the false alarm rate is 18%,and the transmis-sion energy consumption is 0.25% J.
作者 唐婧壹 李强 TANG Jingyi;LI Qiang(Department of Information Engineering,Shanxi Institute of Mechanical and Electrical Engineering,Changzhi Shanxi 046011,China)
出处 《传感技术学报》 CAS CSCD 北大核心 2023年第7期1143-1147,共5页 Chinese Journal of Sensors and Actuators
基金 2020年山西省高等学校科技创新项目(2020L0755)。
关键词 无线传感网络 故障节点检测 无约束插值法 节点定位 低通滤波器 转换矩阵概率 阈值修正模块 wireless sensor network fault node detection unconstrained interpolation node location low-pass filter transition matrix probability threshold correction module
  • 相关文献

参考文献7

二级参考文献50

共引文献84

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部