Evaluation of Clustering Algorithms for Cluster Heads Selection
نویسنده
چکیده
Unsupervised competitive learning algorithms for clustering of sensor nodes in wireless sensor networks are evaluated with a large scale data set in this paper. The Centroid Neural Network (CNN) is compared with Fuzzy c-Means (FCM) algorithm in determining cluster heads among given sensor nodes. The cluster heads are combined with Low Energy Adaptive Clustering Hierarchy (LEACH) for minimizing battery (energy) consumption in sensor nodes. Initial results show that the CNN can be effectively used for the selection of cluster heads and reduces total energy consumption of the network. Keywords—centroid neural network, sensor nodes, cluster head, Fuzzy c-Means.
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