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A dynamic multicast RWA algorithm for WDM network with sparse splitting and wavelength conversion capability

机译:具有稀疏分离和波长转换能力的WDM网络动态组播RWA算法

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Most algorithms separate multicast routing and wavelength assignment (MC-RWA) as two individual issues to study. In this paper, the problem of MC-RWA is addressed both separately and concurrently for sparse splitter and wavelength conversion in WDM networks. In the former case, the routing algorithm is VS-based on auxiliary graph model, and a new cost formula is proposed. The WA algorithm considers the main factors as the maximum number of destinations that wavelength λ can reach in the tree, the number of reachable wavelength conversions, and the wavelength cost ratio. In the case of concurrent MC-RWA, the algorithm is based on the generic layered auxiliary graph, and performs R and WA concurrently. The main objective is to improve the resource utilization and minimize the blocking probability. The simulation results show that the proposed algorithms have a better performance when compared to existing optimal algorithms.
机译:大多数算法将多播路由和波长分配(MC-RWA)单独为学习的两个问题。在本文中,在WDM网络中分别和同时解决MC-RWA的问题,并同时解决WDM网络中的稀疏分离器和波长转换。在前一种情况下,路由算法是基于辅助图模型的VS,提出了一种新的成本公式。 WA算法认为主要因素作为波长λ可以在树中达到的最大目的地,可达波长转换的数量和波长成本比的最大目的地。在并发MC-RWA的情况下,该算法基于通用分层辅助图,并同时执行R和WA。主要目的是提高资源利用率,并最大限度地减少阻塞概率。仿真结果表明,与现有最佳算法相比,所提出的算法具有更好的性能。

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