一种基于ACO的光网络RWA优化方法及应用  

An Optimization Method of Optical Network RWA Based on ACO and Its Application

作　　者：孙媛媛[1] 卢利锋 周静 胡紫巍 翟明岳[1] 刘国军 

机构地区：[1]华北电力大学电气与电子工程学院,北京102206 [2]全球能源互联网研究院,北京102211

出　　处：《光通信研究》2016年第5期19-22,26,共5页Study on Optical Communications

基　　金：国家电网公司2015年科技项目(SGRIXTKJ[2015]241)

摘　　要：针对光传输网络中由于光纤和波长资源有限而导致的RWA(路由波长分配)问题,基于ACO(蚁群算法)框架提出了一种优化算法SS-ACO(服务选择ACO),在蚁群探索方案空间过程中增加了业务选择机制,改进了蚂蚁转移概率和信息素更新方法,有利于提高算法的寻优能力,能有效降低网络业务阻塞率。结合网格网络和实际网络进行了仿真实现。Focusing on the RWA problem in optical transmission network,we proposed a RWA optimization algorithm based on ant colony algorithm framework.The way of choosing a request from requests zone is introduced,which would improve opti-mization ability of the algorithm.In addition,the way of updating pheromone and searching routes in ACO algorithm are also improved.This method can effectively reduce the network traffic congestion.Finally,we conduct a simulation to demonstrate the proposed method in a grid network and a province electric power communication network.

关 键 词：蚁群算法 信息素 阻塞率 路由波长分配 电力通信网 

分 类 号：TN915[电子电信—通信与信息系统]