QoS-based RWA in DWDM optical networks using genetic algorithms

Y. Kavian, H. Rashvand, M. Leeson, W. Ren, E. Hines, M. Naderi
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Abstract

This paper presents the integration of quality of service (QoS) requirements in routing and wavelength assignment (RWA) problems to design wavelength-routed dense wavelength division multiplexing (DWDM) optical networks. A genetic algorithm (GA) optimization approach is employed to solve this complex and multi-constraint problem under heavy load demand matrices employing the COST239 test bench. Simulation results demonstrate that the GA is efficient to establish both bandwidth and propagation delay optimization lightpaths.
基于遗传算法的DWDM光网络qos RWA
本文提出将路由中的业务质量要求与波长分配问题相结合,设计波长路由密集波分复用(DWDM)光网络。采用遗传算法(GA)优化方法,利用COST239试验台解决了大载荷需求矩阵下的复杂多约束问题。仿真结果表明,遗传算法可以有效地建立带宽和传播延迟优化光路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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