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作 者:罗伟华[1] LUO Wei-hua(The Internet of Things And Artificial Intelligence College,Fujian Polytechnic of Information Technology,Fuzhou 350000,Fujian,China)
机构地区:[1]福建信息职业技术学院物联网与人工智能学院,福建福州350000
出 处:《贵阳学院学报(自然科学版)》2023年第4期73-77,共5页Journal of Guiyang University:Natural Sciences
摘 要:为了提高通信网络负载均衡性,提出考虑带宽限制的网络通信负载自适应均衡方法。对网络通信流量信息进行监测,利用小波变换算法对监测流量信息展开去噪预处理,采用分簇聚类算法进行聚类处理;利用采样周期抽头间隔采样模式构建通信链路信道传输模型,以负载自适应均衡为优化目标,构建负载自适应均衡模型,并考虑带宽限制,设置约束条件;采用灰狼算法求解带宽约束下的负载自适应均衡模型,实现网络通信负载自适应均衡。测试结果表明:该方法的均衡指数高于0.9,网络通信时延低于1.87 ms,网络通信吞吐量达到2900kb,有效提高了通信网络负载均衡性。In order to improve the load balance of communication network,the adaptive balancing method of network communication load considering bandwidth limitation is proposed.Monitor the network communication traffic information,use the wavelet transform algorithm to dennoise the monitoring traffic information,use the clustering algorithm,build the communication link channel transmission model,build the load adaptive balancing model with the load adaptive balancing,consider the bandwidth constraints,and use the grey Wolf algorithm to solve the load adaptive balancing model under bandwidth constraints to realize the network communication load adaptive balancing.The test results show that the equilibrium index of this method is higher than 0.9,the network communication delay is lower than 1.87 ms,and the network communication throughput reaches 2900 kb,which effectively improves the load equilibrium of the communication network.
分 类 号:TH311[机械工程—机械制造及自动化]
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