校园网程控交换机连网故障断点检测技术研究  

Research on Fault Detection Technology for Campus Network Program-controlled Switches

作　　者：施建[1] Shi Jian(Information Construction and Management Center,Wuhan Institute of Biological Engineering,Wuhan 430015,China)

机构地区：[1]武汉生物工程学院信息化建设与管理中心,武汉430015

出　　处：《计算机测量与控制》2019年第1期56-59,64,共5页Computer Measurement &Control

摘　　要：当前校园网程控交换机连网故障断点检测技术检测准确率较低、误警率高,也无法实现对故障断点区域的精确定位,提出一种基于节点信誉感知模型的连网故障断点检测技术研究;依据校园网的网络层次结构布局,构建节点之间的信誉感知模型,以提取节点故障区域特征信息,基于小波算法对感知信誉数据进行预处理;为提高算法的稳定性,对邻近节点之间的健康程度进行分析,以最终实现对校园网程控交换机连网故障断点的准确定位与检测;仿真实验数据表明,提出的断点故障检测技术在节点感知故障率为0.6的条件下,仍可获得86.32%的检测率。At present,the detection technology of network fault breakpoint detection in the program control switch of the campus network is low,the false alarm rate is high,and the accurate location of the fault breakpoint area can not be realized,and a network fault breakpoint detection technology based on the node reputation perception model is proposed.According to the network hierarchy layout of the campus network,the credit perception model between nodes is built to extract the feature information of the node fault region,and the perceived reputation data is preprocessed based on the wavelet algorithm.In order to improve the stability of the algorithm,the health degree of the adjacent nodes is analyzed,so as to achieve the accurate location and detection of the breakpoints of the network program control switches in the campus network.The simulation data show that the proposed breakpoint fault detection technology still achieves 86.32%detection rate under the condition that the node sense failure rate is 0.6.

关 键 词：校园网 程控交换机 信誉感知 小波算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]