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为了提高高速宽带光互联网的连通性和故障快速诊断能力,提出一种基于断点传输数据量化跟踪融合的高速宽带光互联网断点检测方法。首先构建宽带光互联网的节点连通图模型,进行宽带光互联网的路由节点传输信道分析,计算节点的路由拓扑测度,然后提取节点传输数据的传送概率密度特征量,采用特征量化融合跟踪方法进行断点与正常节点特征对比,实现断点准确检测。最后进行仿真测试,结果表明,采用该方法进行高速宽带光互联网断点检测的准确检测概率较高,数据包的准确传递性能得到提升。
In order to improve the connectivity and fault diagnosis ability of high speed broadband optical Internet, a high speed broadband optical Internet breakpoint detection method based on breakpoint transmission data quantization tracking fusion is proposed. Firstly, the node connected graph model of broadband optical Internet is constructed, and the transmission channel of broadband optical Internet is analyzed, the routing topology of nodes is calculated, and then the probability density features of transmitted data are extracted, and the feature quantification fusion tracking method is used to make breakpoints Compared with the normal node features, to achieve accurate detection of breakpoints. Finally, the simulation test is carried out. The result shows that the probability of accurate detection of high-speed broadband optical Internet breakpoint detection using this method is high, and the accurate transmission performance of data packets is improved.