基于改进蚁群算法的无线通信网络节点异常在线检测方法  

Online Detection of Nodes in Wireless Communication Network Based on Improved Ant Swarm Algorithm

作　　者：戴可扬 刘志东 DAI Keyang;LIU Zhidong(School of Information Engineering,Zhengzhou Shengda University,HeNan ZhengZhou 451191,China)

机构地区：[1]郑州升达经贸管理学院,信息工程学院,河南郑州451191

出　　处：《长江信息通信》2025年第1期180-181,187,共3页Changjiang Information & Communications

摘　　要：为精确识别节点异常数据,提高无线网络通信质量,文章提出基于改进蚁群算法的无线通信网络节点异常在线检测方法研究。该方法先构建通信网络信道模型,确定通信网络中数据传输节点的状态;然后根据用户数量、用户请求通信频率等,设定网络节点数据采集的间隔时间,完成无线通信网络节点数据在线采集;最后引进改进蚁群算法,进行无线通信网络节点数据特征的提取,采用对无线通信网络异常阶段定位的方式,实现对节点异常的在线检测。对比实验结果证明:设计的方法应用效果良好,可以实现对节点所有异常信息的精准识别,及时并准确地发现通信网络存在的异常,应用效果较好。To accurately identify abnormal data from nodes and improve the quality of wireless network communication,this study proposes an online detection method for abnormal nodes in wireless communication networks based on an improved ant colony algorithm.This method first constructs a communication network channel model to determine the state of data transmission nodes in the communication network;Then,based on the number of users,communication frequency of user requests,etc.,set the interval time for network node data collection to complete the online collection of wireless communication network node data;Finally,an improved ant colony algorithm is introduced to extract the data features of wireless communication network nodes.The online detection of node anomalies is achieved by locating the abnormal stages of the wireless communication network.The comparative experimental results show that the designed method has good application effect,can achieve accurate recognition of all abnormal information of nodes,timely and accurately discover anomalies in the communication network,and has a good application effect.

关 键 词：改进蚁群算法 信道模型 在线检测 异常 网络节点 无线通信网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]