天地一体化信息网络2024，Vol.5Issue(2)：13-22,10.DOI:10.11959/j.issn.2096-8930.2024012
基于遗传优化和人工蜂群的低轨卫星网络负载均衡路由算法
Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network
摘要
Abstract
The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency,low cost,low loss rate and global coverage.However,due to the uneven distribution of users and the variation of network traffic over time,some links may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC)was proposed,which combined genetic algorithm with artificial bee colony algorithm to avoid local optimization.Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm,the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio.关键词
低轨卫星网络/人工蜂群算法/遗传优化算法Key words
LEO satellite network/artificial bee colony algorithm/genetic optimization algorithm分类
信息技术与安全科学引用本文复制引用
邓霞,郝苗苗,林武城..基于遗传优化和人工蜂群的低轨卫星网络负载均衡路由算法[J].天地一体化信息网络,2024,5(2):13-22,10.基金项目
国家自然科学基金资助项目(No.61702127,No.62273107) （No.61702127,No.62273107）
国家留学基金委资助项目(No.201908440064) （No.201908440064）
广州市科技计划资助项目(No.201804010461)The National Natural Science Foundation of China(No.61702127,No.62273107),China Scholarship Council(No.201908440064),Science and Technology Program of Guangzhou(No.201804010461) （No.201804010461）
