基于蚁群算法的自组织网络(WSN, manet)路由算法综述

S. Shirkande, R. A. Vatti
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引用次数: 35

摘要

在Ad-Hoc网络中存在许多优化问题,如能耗、路由、定位、节点部署等。许多研究人员对这些问题进行了研究,最近出现了一类新的基于群智能的路由算法。蚁群算法的灵感来自于蚂蚁的自组织行为,属于群体智能。本文对无线传感器网络(WSN)和移动自组网(manet)中各种基于蚁群的路由算法进行了综述。从性能指标、费洛蒙函数选择下一个节点、使用的模拟器、能量感知等方面对各种算法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ACO Based Routing Algorithms for Ad-hoc Network (WSN, MANETs): A Survey
In Ad-Hoc network there are many problems, which can be categorized as an optimization problem such as energy consumption, routing, localization, node deployment. Many researchers have done research to solve these problems and recently new class of routing algorithms came up which is based on Swarm Intelligence. Ant Colony algorithm is inspired from self-organizing behavior of ants which fall under Swarm Intelligence. In this paper, a survey is done on various ant colony based routing algorithms for Wireless Sensor network (WSN) and Mobile Ad-Hoc Network (MANETs). A comparison of various algorithms is made based on performance metrics, pheromone function to select next node, simulator used, energy awareness, etc.
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