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作 者:冷伟 杨晓敏[2] Wei LENG;Xiao-min YANG(Experimental Training Center,Sichuan Post and Telecommunication College,Chengdu 610067,China;College of Electronics and Information Engineering ,Sichuan university,Chengdu 610044,China)
机构地区:[1]四川邮电职业技术学院实验实训中心,成都610067 [2]四川大学电子信息学院,成都610044
出 处:《机床与液压》2018年第24期169-174,共6页Machine Tool & Hydraulics
基 金:The National Ministry of Education Doctoral Fund(20130181120005)~~
摘 要:为了提高密集波分复用光纤传输的Qos质量,提出了一种基于蚁群优化算法的Qos单播路由选择机制。该算法根据动态的光路连接请求,通过蚁群分类来构建主光路和备用光路,从而将主从复用技术引起的阻塞率降到最低。此外,为了解决局部最优解问题,通过设置遗传因子对蚁群算法进行了优化。NS2仿真实验结果显示,相比传统的路由选择算法,提出的Qo S单播路由选择具有较好的可行性和全局最优化能力,能够有效降低阻塞率从而提高网络资源的利用率。In order to improve Qos quality of Dense Wavelength Division Multiplexing optical fiber transmission,a Qos unicast routing mechanism based on ant colony optimization algorithm is proposed. The algorithm establishes the main optical path and the spare optical path through the ant colony classification according to the dynamic optical path connection request,so as to minimize the blocking probability caused by the master-slave multiplexing technique. In addition,in order to solve the problem of local optimal solution,the ant colony algorithm is optimized by setting genetic factors. NS2 simulation results show that compared with the traditional routing algorithm,the proposed Qo S unicast routing has better feasibility and global optimization ability,which can effectively reduce the blocking probability and improve the utilization of network resources.
关 键 词:蚁群算法 QOS路由 单播路由 路由选择 全局最优
分 类 号:TN913.7[电子电信—通信与信息系统]
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