Ant colony optimization for wireless sensor networks routing

2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI:10.1109/ICMLC.2011.6016670

Jianfeng Yan, Yang Gao, Lu Yang

引用次数: 40

Abstract

Due to energy limitation of sensors, maximization of lifetime is the key to performance of WSN routing protocol. In this paper, we introduce a heuristic way to reduce energy consumption in WSNs routing process using Ant Colony Optimization. We introduce three Ant Colony Optimization algorithms, the Ant System, Ant Colony System and improved AS and their application in WSN routing process. The simulation results show that ACO is an effective way to reduce energy consumption and maximize WSN lifetime.

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无线传感器网络路由的蚁群优化

由于传感器能量的限制，寿命最大化是影响WSN路由协议性能的关键。本文介绍了一种启发式方法，利用蚁群算法降低无线传感器网络路由过程中的能量消耗。介绍了三种蚁群优化算法:蚁群系统、蚁群系统和改进的自治系统及其在无线传感器网络路由过程中的应用。仿真结果表明，蚁群算法是一种有效的降低传感器网络能耗、最大化其使用寿命的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 International Conference on Machine Learning and Cybernetics

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