基于图论算法的光纤传感网络异常通信节点识别方法  

作　　者：张凤 

机构地区：[1]山东省邮电规划设计院有限公司,山东济南250101

出　　处：《现代传输》2024年第3期51-54,共4页Modern Transmission

摘　　要：光纤传感网络在现代监测系统中发挥着重要作用,然而,异常通信节点则会影响网络性能和数据准确性。为了解决这一问题,本文提出了一种基于图论算法的异常通信节点识别方法。通过对光纤传感网络进行拓扑结构分析,并结合图论算法,实现了对异常通信节点的准确识别和定位。实验结果表明,所提方法能够有效识别光纤传感网络中的异常节点,为网络管理和维护提供了有力支持。Fiber optic sensing networks play a crucial role in modern monitoring systems.However,anomalous communication nodes can negatively impact network performance and data accuracy.To address this issue,this paper proposes a method for identifying anomalous communication nodes based on graph theory algorithms.By analyzing the topology of fiber optic sensing networks and employing graph theory algorithms,accurate identification and localization of anomalous communication nodes are achieved.Experimental results demonstrate that the proposed method effectively identifies anomalous nodes in fiber optic sensing networks,providing strong support for network management and maintenance.

关 键 词：光纤传感网络 异常通信节点 图论算法 拓扑结构 异常节点识别 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]