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A Novel Solution to the Dynamic Routing and Wavelength Assignment Problem in Transparent Optical Networks

机译:一种新的动态路由和波长分配解决方案   透明光网络中的问题

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摘要

We present an evolutionary programming algorithm for solving the dynamicrouting and wavelength assignment (DRWA) problem in optical wavelength-divisionmultiplexing (WDM) networks under wavelength continuity constraint. We assumean ideal physical channel and therefore neglect the blocking of connectionrequests due to the physical impairments. The problem formulation includessuitable constraints that enable the algorithm to balance the load among theindividuals and thus results in a lower blocking probability and lower meanexecution time than the existing bio-inspired algorithms available in theliterature for the DRWA problems. Three types of wavelength assignmenttechniques, such as First fit, Random, and Round Robin wavelength assignmenttechniques have been investigated here. The ability to guarantee both lowblocking probability without any wavelength converters and small delay makesthe improved algorithm very attractive for current optical switching networks.
机译:我们提出了一种进化规划算法,用于解决波长连续性约束下的光波分复用(WDM)网络中的动态路由和波长分配(DRWA)问题。我们假设一个理想的物理通道,因此忽略了由于物理障碍而导致的连接请求阻塞。问题的表述包括适当的约束条件,这些约束条件使算法能够平衡个人之间的负担,因此与文献中可用于DRWA问题的现有生物启发算法相比,具有更低的阻塞概率和更低的平均执行时间。这里已经研究了三种类型的波长分配技术,例如“首次拟合”,“随机”和“循环”波长分配技术。无需任何波长转换器即可保证低阻塞概率和小延迟的能力使得改进的算法对当前的光交换网络非常有吸引力。

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