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QoS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 QoS unicast routing has better feasibility and global optimization ability,which can effectively reduce the blocking probability and improve the utilization of network resources.
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