Resolution of a Routing and Wavelength Assignment Problem by Independent Sets in Conflict Graphs

O. Hudry
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Abstract

In an optical network, a Scheduled Lightpath Demand (SLD) is a connection demand between two nodes, during a certain time and with a certain wavelength. We consider the following NP-hard Routing and Wavelength Assignment problem dealing with SLDs: given a set of SLDs and a number W of wavelengths, maximize the number of SLDs to which we can assign a lightpath (i.e. a routing path and a wavelength) without exceeding the number W of available wavelengths. The constraints are: a same wavelength must be assigned all along the routing path of any SLD; at any time, a given wavelength on a given edge of the network cannot be used to satisfy more than one SLD. To solve this problem, we study an approach stating the problem as the successive searches of independent sets in some conflict graphs. Moreover, we improve this approach thanks to a post-optimization method. The experimental results show that this model and the post-optimization method are quite efficient to provide a large number of routed SLDs.
冲突图中独立集解决路由和波长分配问题
在光网络中,预定光路需求(schedule Lightpath Demand, SLD)是指两个节点之间在一定时间和波长下的连接需求。我们考虑以下处理sld的NP-hard路由和波长分配问题:给定一组sld和波长数W,在不超过可用波长数W的情况下,最大化我们可以分配光路(即路由路径和波长)的sld数量。约束条件是:任何SLD的路由路径上必须分配相同的波长;在任何时候,网络的给定边缘上的给定波长不能用于满足多个SLD。为了解决这一问题,我们研究了一种将问题描述为若干冲突图中独立集的连续搜索的方法。此外,我们还利用后优化方法改进了该方法。实验结果表明,该模型和后优化方法能够有效地提供大量的路由sld。
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