基于模糊等价矩阵的无线传感器聚类分区算法

计算机科学 ›› 2012, Vol. 39 ›› Issue (Z6): 123-124.

基于模糊等价矩阵的无线传感器聚类分区算法

李栓栓,李成海,郭新鹏

(空军工程大学导弹学院三原713800)

出版日期:2018-11-16 发布日期:2018-11-16

Clustering Subsection Algorithm Based on Fuzzy Equivalence Matrix for Wireless Sensors

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 基于模糊等价矩阵的聚类方法是模糊聚类中一种经典的分析方法。首次将其引入无线传感器节点分区的应用中。该聚类分区算法通过计算节点间的Euclid距离、分析其相关性、形成模糊等价矩阵、进行节点分区，实现了对该分区算法的应用设计。分析了其算法时间复杂度，并利用Matlab软件完成了算法仿真。仿真结果显示，该算法可以根据其疏密程度的不同很好地将无线传感节点分成不同区域。

关键词: 模糊聚类，无线传感器，相关性，模糊等价矩阵

Abstract: The clustering method based on fuzzy equivalence matrix is one of the classical methods of fuzzy clustering. We applied it to assort wireless sensors for the first time. The algorithm analyzes the pertinence of two sensors with the Euclid distance of them, and then acquires the fuzzy equivalence matrix for subsection. We designed the algorithm, ana- lyzed the time complexity of i1_ And the algorithm was simulated on Matlab. The results of simulation show the wireless sensors are assorted several classes by different distributing density with the algorithm.

Key words: Fuzzy clustering, Wireless sensor, Pertinence, Fuzzy equivalence matrix

李栓栓,李成海,郭新鹏. 基于模糊等价矩阵的无线传感器聚类分区算法[J]. 计算机科学, 2012, 39(Z6): 123-124. https://doi.org/

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