利用遗传算法选择最优稳定簇头，降低簇开销

2008 Second Asia International Conference on Modelling & Simulation (AMS) Pub Date : 2008-05-13 DOI:10.1109/AMS.2008.107

S. Muthuramalingam, R. Malarvizhi, R. Veerayazhini, R. Rajaram

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引用次数: 4

摘要

本文提出了一种既稳定又能减少维护集群结构开销的簇头选择方法。通过最小化生成的集群数量和集群成员数量的变化，可以最小化集群维护开销。目标是为上层提供一个通用的、稳定的集群结构。通过遗传算法进行优化。

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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Reducing the Cluster Overhead by Selecting Optimal and Stable Cluster Head through Genetic Algorithm

This paper proposes an idea for selecting cluster heads which are not only stable but also reduces the overhead in maintaining the cluster architecture. Cluster maintenance overheads can be minimized by minimizing the number of generated clusters and the variance of the number of cluster members. The goal is to provide a generic and stable cluster structure for the upper layers. The optimization is done through genetic algorithm.

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2008 Second Asia International Conference on Modelling & Simulation (AMS)

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