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Genetic algorithm approach to dynamic multiconstraint multipath QoS routing algorithm for IP networks

机译:IP网络中动态多约束多路径QoS路由算法的遗传算法

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摘要

Real-time distributed multimedia applications have special requirements in terms of bandwidth, delay, jitter, etc. The current IP network is suitable for applications such as e-mail, ftp, etc., but not suitable for real time multimedia applications that demand different QoS requirements from the underlying network. In order to make the network suitable for such applications many QoS routing algorithms have been proposed. The problem of finding a path which satisfies multiple constraints is a NP-complete problem. Hence, various heuristics have been proposed to find a path that satisfies multiple constraints. To search all feasible paths in less time, many researchers have used the concept of genetic algorithm (GA). This GA approach has been used in this paper to improve the path search time of the existing dynamic multi constraint multi path QoS routing algorithm (DMCMPRA). The simulation results of the improved algorithm are discussed in this paper.
机译:实时分布式多媒体应用在带宽,延迟,抖动等方面有特殊要求。当前的IP网络适用于电子邮件,ftp等应用,但不适用于要求不同的实时多媒体应用来自底层网络的QoS要求。为了使网络适合于这样的应用,已经提出了许多QoS路由算法。寻找满足多个约束的路径的问题是NP完全问题。因此,已经提出了各种启发式方法来找到满足多个约束的路径。为了在更短的时间内搜索所有可行的路径,许多研究人员使用了遗传算法(GA)的概念。本文采用这种遗传算法来改善现有动态多约束多路径QoS路由算法(DMCMPRA)的路径搜索时间。本文讨论了改进算法的仿真结果。

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