基于自适应遗传算法的无线激光通信网络负载均衡成簇算法  

Load balancing clustering algorithm for wireless laser communication network based on adaptive genetic algorithm

作　　者：沈小渝 李晗 李红映 SHEN Xiaoyu;LI Han;LI Hongying(Chengdu College of University of Electronic Science and Technology of China,Chengdu 611731,China;Liaoning University of Technology,School of Electronic and Information Engineering,Jinzhou 121000,China;Zhejiang A&F University,Information and Education Technology Center,Hangzhou 311300,China)

机构地区：[1]电子科技大学成都学院,成都611731 [2]宁工业大学电子与信息工程学院,辽宁锦州121000 [3]浙江农林大学信息与教育技术中心,杭州311300

出　　处：《激光杂志》2023年第3期205-209,共5页Laser Journal

基　　金：中央引导地方科技发展专项资金(No.2020JH6/10500067);辽宁省博士科研启动基金计划项目(No.2019-BS-121)。

摘　　要：由于无线激光通信网络吞吐量低、节点传输延时高和存在分组丢失率多等问题,提出基于自适应遗传算法的无线激光通信网络负载均衡成簇算法。利用AGCH算法对无线激光通信网络节点进行分组和成簇,从中取得簇头节点,构建资源调度模型,利用该模型对簇头节点中的资源进行分配调度,采用自适应遗传算法对建立的模型进行求解,以此提升无线激光通信网络负载均衡效果,实现无线激光通信网络负载均衡。实验结果表明,通过对该算法进行网络吞吐量测试、节点传输延时测试和分组丢失率测试,验证了该算法的有效性强、实用性高。Due to the problems of low throughput,high node transmission delay and high packet loss rate in wireless laser communication network,a load balancing clustering algorithm based on adaptive genetic algorithm is proposed for wireless laser communication network.The AGCH algorithm is used to group and cluster the wireless laser communication network nodes,and the cluster head nodes are obtained from them,and a resource scheduling model is constructed.The model is used to allocate and schedule the resources in the cluster head nodes.In order to improve the load balancing effect of the wireless laser communication network and realize the load balancing of the wireless laser communication network.The experimental results show that the algorithm has strong effectiveness and high practicability through the network throughput test,node transmission delay test and packet loss rate test.

关 键 词：自适应遗传算法 无线激光通信网络 网络负载均衡 成簇算法 

分 类 号：TN911.[电子电信—通信与信息系统]