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在弹性光网络中,光树传输组播可以节省链路代价,但较长的光树需要选择更低的调制等级,消耗更多的频谱资源和发射机功耗。提出一种基于遗传算法的光森林组播和光树重配置(GAMF-TR)优化组播的能效路由、调制格式和频谱分配(RMSA)策略。GAMF-TR策略设计染色体编码表示光森林的组播目的节点划分和光路径组合,通过染色体的基因位概率交叉和变异得到更多的光森林RMSA策略,设计了一个频谱分配效率和发射机功耗折中的适应度函数选择能效最高的光森林RMSA策略,并设计在网络资源充足时将组播从光森林重配置到光树传输,进一步减少发射机功耗的消耗。仿真结果表明:提出的GAMF-TR策略获得了组播的最低带宽阻塞率和最高能效性能。
In resilient optical networks, optical tree transport multicasting can save on link costs, but longer light trees require a lower modulation level to consume more spectrum resources and transmitter power. This paper proposes a new energy efficient routing, modulation format and spectrum allocation (RMSA) strategy based on GAMF-TR multicast optimization. GAMF-TR strategy design Chromosome coding represents the multicasting destination node division and optical path combination of optical forest, and more optical forest RMSA strategies are obtained through the crossover and mutation of the genetic loci of chromosomes. A spectrum allocation efficiency and transmitter power dissipation fold The fitness function selects the most energy-efficient optical forest RMSA strategy and is designed to reduce the consumption of transmitter power by reconfiguring the multicast from the optical forest to the light tree when the network resources are sufficient. The simulation results show that the proposed GAMF-TR strategy achieves the lowest multicast blocking rate and the highest efficiency.