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基于烟花-蚁群混合算法的无线通信网络数据流均衡调度研究

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无线通信网络处于不断变化的动态环境中,数据流均衡调度需要综合考量路径流量、时延、最大链路带宽等多种因素,为此,提出基于烟花-蚁群混合算法的无线通信网络数据流均衡调度方法.分析无线通信网络链路负载和利用情况,根据拥塞链路检测阈值实现拥塞链路检测.根据拥塞链路检测结果,将路径流量、时延和最大链路带宽作为优化目标,建立数据流均衡调度目标函数,引入烟花-蚁群混合算法对目标函数求解,最优解即为最优的数据流均衡调度方案.实验结果表明,所提方法的链路利用率、无线通信网络吞吐量、负载均衡度均较高,说明方法的数据流均衡调度效果好.
Research on Data Flow Balancing Scheduling in Wireless Communication Network Based on Fireworks-ant Colony Hybrid Algorithm
The wireless communication network is in a constantly changing dynamic environment,and data flow balancing scheduling requires comprehensive consideration of various factors such as path traffic,time delay and maximum link band-width.Therefore,a wireless communication network data flow balancing scheduling method based on fireworks-ant colony hy-brid algorithm is proposed.This paper analyzes the load and utilization of wireless communication network links,and imple-ments congestion link detection based on the congestion link detection threshold.Based on the congestion link detection results,the path traffic,time delay and maximum link bandwidth are taken as optimization objectives,and a data flow balancing schedu-ling objective function is established.The fireworks-ant colony hybrid algorithm is introduced to solve the objective function,and the optimal solution is the optimal data flow balancing scheduling scheme.The experimental results show that the proposed method has higher link utilization,wireless communication network throughput and load balancing,indicating that the data flow balancing scheduling effect of the method is good.

wireless communication networkdata flow detectionfireworks-ant colony hybrid algorithmdata flow balancing schedulinglink bandwidth

冯岩星、应依依、许俊渊

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浙江浙能数字科技有限公司,运营安全中心,浙江,杭州 311121

无线通信网络 数据流检测 烟花-蚁群混合算法 数据流均衡调度 链路带宽

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(11)