Wavelength Assignment for Physical-Layer-Impaired Optical Networks Using Evolutionary Computation
Wavelength Assignment for Physical-Layer-Impaired Optical Networks Using Evolutionary Computation
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DOI：
10.1364/jocn.3.000178
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
C. Bastos-Filho;D. Chaves;Felipe S. F. e Silva;Helder A. Pereira;J. Martins-Filho
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文献类型：
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作者：
C. Bastos-Filho;D. Chaves;Felipe S. F. e Silva;Helder A. Pereira;J. Martins-Filho
本文提出了一种适用于主要受物理层效应影响的光网络的波长分配算法，称为智能波长分配算法(iWA)。主要思想是确定首次拟合算法的波长激活顺序，该算法通过使用受进化概念启发的训练算法来平衡物理层效应的影响。 iWA 提出了一些最近提出的智能优化算法概念，例如用于存储最佳解决方案的外部存档。我们建议的测试中考虑了一些不同的物理层效应，例如四波混频和残余色散。我们测试了我们的透明光网络提案。然而，我们相信iWA可以用于其他类型的网络，例如不透明网络和半透明网络。针对三种不同场景下的两种网络拓扑，将所提出的波长分配算法与其他五种波长分配算法进行了比较。在大多数情况下，iWA 算法优于其他 WA 算法。还分析了我们提出的算法对负载分布变化的鲁棒性。
This paper presents a wavelength assignment algorithm suitable for optical networks mainly impaired by physical layer effects, named the Intelligent Wavelength Assignment algorithm (iWA). The main idea is to determine the wavelength activation order for a first-fit algorithm that balances the impact of the physical layer effects by using a training algorithm inspired by evolutionary concepts. The iWA presents some recently proposed concepts in intelligent optimization algorithms, such as an external archive to store the best solutions. Some different physical layer effects, such as four-wave mixing and residual dispersion, were considered in the tests of our proposal. We tested our proposal for transparent optical networks. However, we believe iWA can be used in other types of network, such as opaque networks and translucent networks. The proposed wavelength assignment algorithm was compared with five other wavelength assignment algorithms for two network topologies in three different scenarios. The iWA algorithm outperformed the other WA algorithms in most cases. The robustness of our proposed algorithm to the load distribution changes was also analyzed.