摘要
传统的电力通信网路由优化方法在使用的过程中,对通信网络流量控制能力较差,导致在多种环境下通信网络最大链路利用率较低。因而,设计考虑负载与风险联合均衡的电力通信网路由优化方法。采用回归模型分析电力通信网络流量。使用层次分析法,评估电力通信网络风险。以上述两部分内容作为电力通信网路由规划的基础,并采用粒子群算法完成此路由位置规划。至此,考虑负载与风险联合均衡的电力通信网路由优化设计完成。构建测试环节,与其他两种电力通信网路由优化方法相比,此方法的最大链路利用率较高。由此可知,此方法的使用效果更佳。
Traditional power communication network routing optimization methods are used in the process of traffic control capability poor resulting in many environments communication networks maximum link utilization rate is low.Therefore,optimization method of power communication network routing is designed considering combined balance between load and risk.The flow rate of power communication network is analyzed by regression model.Using analytic hierarchy process(AHP)to evaluate power communication network risk.Based on these two parts as the basis of routing planning of power communication network,Particle Swarm Optimization(PSO)algorithm is adopted to complete this routing location planning.At present,considering load and risk combined balance power communication network routing optimization design completed.Compared with other two kinds of power communication networks routing optimization methods,this method has higher maximum link utilization ratio than other two kinds of power communication networks routing optimization methods.Therefore,this method has a better effect than other methods.
出处
《科技创新与应用》
2020年第33期130-131,共2页
Technology Innovation and Application
关键词
流量负载
风险评估
粒子群算法
网络结构优化
traffic load
risk assessment
Particle Swarm Optimization
network structure optimization
