摘要
为避免故障节点影响无线通信网络内信息的顺利交互,研究基于贝叶斯网络的无线通信网络故障节点自动定位方法。创建无线通信网络多层节点交互状态模型,实时采集无线通信网络中节点的交互状态信息,并利用链路函数获得故障节点所处链路层位置,提取此区域内故障节点特征,将提取结果作为依据,使用贝叶斯网络锁定此区域内全部故障节点,实现无线通信网络故障节点自动定位。实验结果表明:该方法可以准确、全面地定位无线通信网络不同层级和不同服务器的故障节点,并清晰地呈现故障节点定位结果;在无线通信网络内产生大量数据的情况下,网络各层级最高信道冲撞率仅为0.29%,能有效保证大规模数据交互的畅通性。
In order to avoid the fault node affecting the smooth interaction of information in wireless communication network, the automatic location method of fault node in wireless communication network based on Bayesian network is studied. Create a multi-layer node interaction state model of the wireless communication network, collect the interaction state information of the nodes in the wireless communication network in real time, use the link function to obtain the link layer position of the failed node, extract the characteristics of the failed node in this area, and take the extraction results as the basis to lock all the failed nodes in this area with Bayesian network, Realize the automatic location of fault nodes in wireless communication network. The experimental results show that this method can accurately and comprehensively locate the fault nodes of different levels and servers of wireless communication network, and clearly present the location results of fault nodes;When a large amount of data is generated in the wireless communication network, the highest channel collision rate at all levels of the network is only 0.29%, which can effectively ensure the smoothness of large-scale data interaction.
作者
饶强
RAO Qiang(Information&Communication Branch of State Grid Hubei Electric Power Company Hubei Wuhan 430077,China)
出处
《自动化与仪器仪表》
2022年第12期258-262,共5页
Automation & Instrumentation
基金
国网湖北信通公司基于时空重叠和激励扩散的电力通信网反事故演习和优化关键技术研究及试点应用(5215 3318004H)。
关键词
贝叶斯网络
无线通信网络
故障节点
自动定位
交互状态
链路函数
bayesian network
wireless communication network
fault node
automatic positioning
interaction status
link function
