资源约束下WDM网状网络组播的遗传算法

S. Barat, A. Pradhan, T. De
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引用次数: 2

摘要

WDM mesh网络中的组播路由与波长分配(MRWA)是光子域一对多通信中的关键问题。在这个问题中所做的大部分工作是基于不同的启发式。本文将该问题表述为时延控制的分裂最小化问题,并应用遗传算法为WDM网状网络中的多播提供了一个近似最优解。本文的主要贡献在于我们考虑了多个目标,包括QoS参数(如延迟)和网络资源参数(如分离器、光通道),同时为每个多播会话请求生成光树。本文设计了一种新颖的可调适应度函数,有效地解决了受限设置下存在多个目标冲突的MRWA问题。仿真结果显著地证实了这一说法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A genetic algorithm for multicasting in resource constraint WDM mesh networks
Multicast Routing and Wavelength Assignment (MRWA) in WDM mesh network is a vital problem in one-to-many communication in photonic domain. The majority of works done in this problem is based on different heuristics. In this paper we have formulated the problem as a delay controlled splitting minimization problem and applied a genetic algorithm to provide a near optimal solution for multicasting in WDM mesh network. The major contribution in this paper is that we have taken multiple objectives in account including QoS parameter like delay and network resource parameters like splitters, optical channels while generating light-tree for each multicast session request. Here we have designed a novel tunable fitness function which provides efficient solution for MRWA problem with multiple conflicting objectives in a constrained setup. The simulation results establish the truth of this claim significantly.
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