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基于模糊粒子群算法的光纤通信网络路由资源优化配置

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光纤通信网络路由资源数据量大且不均衡,导致路由资源分配过程中丢包率升高,效率下降.提出基于模糊粒子群算法的光纤通信网络路由资源优化配置方法.建立光纤通信网络模型,对光纤通信网络参数映射展开定义描述.根据光纤通信网络生命期、路径延时搭建路由资源优化配置模型,采用模糊粒子群算法对模型展开求解.对最优解展开精准判断,实现光纤通信网络路由资源优化配置.实验结果表明,所提方法的丢包率最高仅为 0.6%,带宽利用率最高达到了 31%,配置时间最低仅为 6.8 s,效率高,实际应用效果好.
Optimal Allocation of Routing Resources in Optical Fiber Communication Networks Based on Fuzzy Particle Swarm Optimization
The routing resource data in optical fiber communication network is large and unbalanced,which leads to the increase of packet loss rate and the decrease of efficiency in the process of routing resource allocation.A method for optimal allocation of routing re-sources in optical fiber communication network based on fuzzy particle swarm optimization algorithm is proposed.The optical fiber com-munication network model is established,and the parameter mapping of optical fiber communication network is defined and described.According to the life cycle and path delay of optical fiber communication network,an optimal allocation model of routing resources is built,and the fuzzy particle swarm optimization algorithm is used to solve the model.The optimal solution is judged accurately to realize the optimal allocation of routing resources in the optical fiber communication network.The experimental results show that the highest packet loss rate of the proposed method is only 0.6%,the highest bandwidth utilization rate is 31%,and the lowest configuration time is only 6.8 seconds.The proposed method has high efficiency and good practical application effect.

fuzzy particle swarm optimizationoptical fiber communication networkrouting resourcesoptimize configurationmodel solving

潘志安、庞国莉、王小英

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防灾科技学院信息工程学院,河北 三河 065201

模糊粒子群算法 光纤通信网络 路由资源 优化配置 模型求解

河北省高等教育教学改革研究与实践项目中央高校基本科研业务费专项创新团队计划

2022GJJG481ZY20180125

2024

电子器件
东南大学

电子器件

CSTPCD
影响因子:0.569
ISSN:1005-9490
年,卷(期):2024.47(2)
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