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An efficient approach to optimal wavelength routing in WDM optical networks

机译:WDM光网络中优化波长路由的有效方法

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The problem of wavelength routing and assignment in WDM optical networks is NP-hard. To date, problems of wavelength routing and wavelength assignment have been solved separately to obtain optimal or near-optical solutions. In this paper, we propose a heuristic approach to wavelength routing that achieves optimal or near optimal solutions with much faster computational time compared to the classical ILP formulation. A two steps approach including K shortest paths (KSP) and integer linear programming selection (ILPS) formulation is presented. This approach can deal with larger network sizes. Tune complexity and optimality of solution are two performance metrics considered in our study. The computational time in ILP formulation increases rapidly (nearly exponential) while those in our approach are nearly flat. The optimality of solutions in our approach depends on the value of the constant K in the KSP process, and in most cases optimal solutions can be achieved when K > 4. For NSFNET with 14 nodes, 21 bidirectional links, 16 wavelengths per link and 100 random traffic matrices of 115 connections, it yields one hundred percent of 46 feasible and optimal solutions when K > 4.
机译:WDM光网络中的波长路由和分配问题是NP难题。迄今为止,已经分别解决了波长路由和波长分配的问题,以获得最佳或接近光学的解决方案。在本文中,我们提出了一种启发式的波长路由方法,与经典的ILP公式相比,该方法可以以更快的计算时间实现最佳或接近最佳解决方案。提出了包括K个最短路径(KSP)和整数线性规划选择(ILPS)公式化的两步方法。这种方法可以处理更大的网络规模。音调的复杂性和解决方案的最优性是我们研究中考虑的两个性能指标。 ILP公式中的计算时间迅速增加(几乎成指数增长),而我们方法中的计算时间则几乎保持不变。在我们的方法中,解决方案的最优性取决于KSP过程中常数K的值,并且在大多数情况下,当K> 4时可以实现最优解决方案。对于具有14个节点,21个双向链路,每个链路16个波长和100个NSFNET的NSFNET 115个连接的随机流量矩阵,当K> 4时,可得出46个可行和最佳解决方案的百分之一百。

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