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The Study of Classification with SVM in MANeT

机译:MANeT中支持向量机分类的研究

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摘要

The nodes in MANet are generally partitioned into individual clusters, some nodes known as cluster heads are responsible for resource allocation to member nodes in its cluster. In this paper, support vector machine was trained to classify the mobile nodes as cluster-head nodes or member nodes. The training SVM was used to recognize the mobile nodes in MANet. Simulation results show that the method is available to simplify the clustering process in MANet.
机译:MANet中的节点通常被划分为单独的群集,一些称为群集头的节点负责向其群集中的成员节点分配资源。在本文中,对支持向量机进行了训练,以将移动节点分类为簇头节点或成员节点。训练的SVM用于识别MANet中的移动节点。仿真结果表明,该方法可简化MANet中的聚类过程。

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