应用模糊推理系统研究青少年簇首选择

The International Journal of Advanced Smart Convergence Pub Date : 2016-03-31 DOI:10.7236/IJASC.2016.5.1.66

Young-Il Song, Kyedong Jung, S. Lee, Jong-Yong Lee

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引用次数: 3

摘要

本文提出了一种基于模糊推理系统的聚类算法，以提高聚类头选择的适应性。随机选择方法不能保证簇头的可用性。此外，由于没有优化簇的形成，影响了网络的生存期。为了改进这一问题，我们提出了一种收集传感器节点属性来评估成为簇头概率的算法

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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A Study of Cluster Head Election of TEEN applying the Fuzzy Inference System

In this paper, we proposed the clustering algorithm using fuzzy inference system for improving adaptability the cluster head selection of TEEN. The stochastic selection method cannot guarantee available of cluster head. Furthermore, because the formation of clusters is not optimized, the network lifetime is impeded. To improve this problem, we propose the algorithm that gathers attributes of sensor node to evaluate probability to be cluster head

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The International Journal of Advanced Smart Convergence

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