基于蚁群算法的无线网络拥塞控制与实验研究  

Research on Wireless Network Congestion Control and Experiment Based on Ant Colony Algorithm

作　　者：蒋成 郭向坤 JIANG Cheng;GUO Xiang-kun(School of Computer and Information Science,Hubei Engineering University,Xiaogan Hubei 432000,China;School of Information Science and Engineering,Shenyang Ligong University,Shenyang Liaoning 110159,China)

机构地区：[1]湖北工程学院计算机与信息科学学院,湖北孝感432000 [2]沈阳理工大学信息科学与工程学院,辽宁沈阳110159

出　　处：《计算机仿真》2024年第10期337-340,375,共5页Computer Simulation

基　　金：湖北省教育科学规划课题(2021GB072)。

摘　　要：为了保证无线网络运行通畅,稳定运行,并减少能耗,提出了一种基于蚁群算法的无线网络拥塞控制方法。根据无线网络节点内各流调度问题,按照每个服务流程的等待时间函数确定优先权。根据各个节点信息重建观测矩阵,获得基本矩阵稀疏系数矢量,舍弃多余数据并合成更高效的数据以进行传输。采用蚁群算法计算链路的剩余能量,判断节点数据传输情况,完成拥堵控制。通过实验验证,证明所提算法能够较好的避免网络拥塞,减少能源消耗和丢包率,保证网络通信稳定。In order to ensure the smooth and stable operation of wireless networks and reduce energy consumption,this paper proposed a method of controlling wireless network congestion based on ant colony algorithm.For the flow scheduling problem in wireless network nodes,we determined the priority by the waiting time function of the service procedure at first.Then,we reconstructed the observation matrix according to the information of nodes,thus obtaining the sparse coefficient vector of the basic matrix.Moreover,we gave up some redundant data and synthesized more efficient data for transmission.Furthermore,we used the ant colony algorithm to calculate the residual energy of the link,thus judging the data transmission of nodes.Finally,we completed the congestion control.Experimental results prove that the proposed algorithm can effectively avoid network congestion and reduce energy consumption and packet loss rate,thus ensuring the stability of network communication.

关 键 词：蚁群算法 无线网络 网络拥塞控制 网络数据采集 观测向量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]