大数据驱动下智慧城市通信网络故障节点定位
Positioning of Fault Nodes in the Smart City Communication Network Driven by Big Data
张哲1
作者信息
- 1. 菏泽市定陶区大数据中心,山东菏泽 274100
- 折叠
摘要
通信网络具有复杂性和动态性,节点故障发生时若不能快速准确地定位,影响修复工作的开展.文章提出大数据驱动下智慧城市通信网络故障节点定位.提取智慧城市通信网络故障节点特征,构建大数据驱动的故障节点路径探测模型,监测通信网络路径上故障节点和链路的状态,实现故障节点定位.实验结果表明:该方法能够准确对通信网络进行故障节点定位,定位误差较小.
Abstract
Communication networks are complex and dynamic,and if node failures cannot be quickly and accurately located,it will affect the progress of repair work.Therefore,it is pro-posed to locate faulty nodes in smart city communication networks driven by big data.Extract the characteristics of faulty nodes in smart city communication networks,construct a big data-driven fault node path detection model,monitor the status of faulty nodes and links on the communication network path,and achieve fault node localization.The experimental results show that this method can accurately locate faulty nodes in communication networks with small positioning errors.
关键词
故障节点定位/信息熵/奇异谱熵/功率熵/图论挖掘法Key words
fault node location/Information entropy/Singular spectral entropy/Power entropy/Graph theory mining method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据