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首页> 外文期刊>International Journal of Science and Technology Education Research >Swarm intelligence based approach for routing in mobile Ad Hoc networks
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Swarm intelligence based approach for routing in mobile Ad Hoc networks

机译：基于群智能的移动Ad Hoc网络路由方法

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Mobile Ad Hoc Networks (MANETs) are built up of a collection of mobile nodes which have no fixed infrastructure. The nodes communicate through wireless network and there is no central control. Routing is the task of directing data packets from a source node to a given destination. This task is particularly complex due to the dynamic topology, limited process and storing capability, bandwidth constraints and lack of the central control. Ants routing resembles basic mechanisms from distributed Swarm Intelligence (SI) in biological systems and turns out to become an appealing solution when routing becomes a crucial problem in a complex network scenario, where traditional routing techniques either fail completely or at least face intractable complexity. Ants based routing is gaining more popularity because of its adaptive and dynamic nature. A number of Swarm Intelligence (SI) based, more specially Ant Colony Optimization (ACO) based routing algorithms are proposed by researchers. In this paper, we discuss the basic routing technique of biological insects like ants and present an overview of all the ACO based proposed routing algorithms.
机译：移动自组织网络（MANET）由没有固定基础结构的一组移动节点组成。节点通过无线网络进行通信，并且没有中央控制。路由是将数据包从源节点定向到给定目标的任务。由于动态拓扑，受限的过程和存储功能，带宽限制以及缺乏中央控制，因此此任务特别复杂。蚂蚁路由类似于生物系统中分布式群智能（SI）的基本机制，当路由成为复杂网络场景中的关键问题时，它成为一种有吸引力的解决方案，在这种情况下，传统路由技术要么完全失效，要么至少面临难以解决的复杂性。基于蚂蚁的路由由于其自适应性和动态性而越来越受欢迎。研究人员提出了许多基于群体智能（SI）的路由算法，尤其是基于蚁群优化（ACO）的路由算法。在本文中，我们讨论了蚂蚁等生物昆虫的基本路由技术，并对所有基于ACO的路由算法进行了概述。

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