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FLAR: AN ADAPTIVE FUZZY ROUTING ALGORITHM FOR COMMUNICATIONS NETWORKS USING MOBILE ANTS

机译:FLAR:使用移动蚂蚁的通信网络自适应模糊路由算法

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摘要

Swarm intelligence, as demonstrated by a natural biological swarm, such as an ant colony, has many powerful properties that are desirable for effective routing in communications networks. In this paper, we propose an intelligent routing algorithm that we are calling Fuzzy Logic Ant-based Routing (FLAR), which is inspired by ant colonies and enhanced by fuzzy logic techniques. Using a fuzzy system as an intelligent and expert mechanism allows multiple constraints to be considered in a simple and intuitive way. Simulation results and a comparison of the proposed method with two state-of-the-art routing algorithms show better performance and a higher fault tolerance for our approach, particularly in regard to link failures.
机译:正如自然生物群(例如蚁群)所证明的,群智能具有许多强大的属性,这些属性是通信网络中有效路由所希望的。在本文中,我们提出了一种智能路由算法,我们称其为基于模糊逻辑基于蚂蚁的路由(FLAR),该算法受蚁群启发并由模糊逻辑技术增强。使用模糊系统作为智能专家机制可以以简单直观的方式考虑多个约束。仿真结果和所提出的方法与两种最新路由算法的比较表明,对于我们的方法,尤其是在链路故障方面,该方法具有更好的性能和更高的容错能力。

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