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首页> 外文期刊>International journal of artificial intelligence and soft computing >A QoS-based routing approach using genetic algorithms for bandwidth maximisation in networks
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A QoS-based routing approach using genetic algorithms for bandwidth maximisation in networks

机译：一种基于遗传算法的QoS路由方法，用于网络中的带宽最大化

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摘要

This paper addresses the path selection problem from a known source to the destination in dense networks. The proposed solution for route discovery uses the genetic algorithm approach for a QoS-based network. The multi point crossover and mutation helps in determining the optimal path and alternate path when required. The input to the genetic algorithm is a learnt module which is a part of the cognitive router that takes care of four QoS parameters. Here, the set of nodes selected for routing is determined by delay, jitter and loss. On this graded surface of nodes selected, the bandwidth parameter is considered for path selection. The aim of the approach is to occupy the maximised bandwidth along the forward channels and minimise the route length. The population size is considered as fixed nodes participating in the network scenario, which will be limited to a known size of topology. The simulated results show that by using genetic algorithm (GA) approach the probability of convergence to shortest path is higher.
机译：本文解决了密集网络中从已知来源到目的地的路径选择问题。提出的路由发现解决方案将遗传算法方法用于基于QoS的网络。多点交叉和变异有助于在需要时确定最佳路径和备用路径。遗传算法的输入是一个学习的模块，它是认知路由器的一部分，负责四个QoS参数。在这里，选择用于路由的节点集由延迟，抖动和损耗决定。在所选节点的此渐变表面上，考虑带宽参数进行路径选择。该方法的目的是占用沿前向信道的最大带宽并最小化路由长度。人口规模被认为是参与网络方案的固定节点，这将限于已知的拓扑大小。仿真结果表明，采用遗传算法可以收敛到最短路径。

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