基于蚁群的自适应动态路由算法

Yong Lu, Guangzhou Zhao, Fanjun Su
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引用次数: 46

摘要

网络拓扑结构不仅在不断增长,而且许多设备都具有移动性,现在需要某种有保证的服务质量(QoS)。为了有效地应对不断变化的流量负载和拓扑,减少拥塞现象,本文提出了一种新的基于简单生物“蚂蚁”的分组交换通信网络自适应动态路由算法,该算法利用一种新的强化学习方法,探索网络并学习好的路由。仿真结果表明,该算法显著改善了网络的松弛性和对扰动的响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive ant-based dynamic routing algorithm
Network topologies are not only continuously growing, but many devices become mobile and some sort of guaranteed quality of service (QoS) is now required. In order to efficiently deal with the changing traffic loads and topologies, reduce the phenomena of congestions, this paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based on simple biological "ants" that explore the network and learn good routes, using a novel variation of reinforcement learning. Simulation results confirm that the algorithm is shown to significantly improve the network's relaxation and its response to perturbations.
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