K-means algorithm is used for clustering. The node with lowest weighted communication distance is selected to be the CH, in which the weight is calculated by ...
K-means Based LEACH-C (LEACH-CK) Algorithm is an adjustment to LEACH-C CH selection by applying K-means in clustering [13]. Though residual energy is ...
In [26] , authors proposed a Weighted K-means Based LEACH-C Algorithm for Cluster Head Selection. After performing the K-means algorithm for clustering, ...
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What is the Leach protocol for cluster head selection?
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What is modified K clustering algorithm?
The results show that Mk-means (modified k-me means) algorithm was found to outperform the existing clustering algorithms owing to its unique multiple ...
A modified k-means (Mk-means) algorithm for clustering was proposed which includes three cluster heads (simultaneously chosen) for each cluster.
Similarly to traditional LEACH, LEACH-Kmeans starts with setting the number of cluster heads and then uses the K-means technique to find the cluster center ( ...
Dec 3, 2022 · LEACH-Kmeans is done in cluster-head selection. LEACH-Kmeans ... the network by using K-means clustering algorithm and based on weights of nodes.
An Energy Efficient LEach-C (EELEACH-C) protocol is presented, in which base station runs a sorting algorithm to obtain a list of candidate cluster head ...
Clustering-based algorithms group sensor nodes into distinct clusters, where each sensor node belongs to one cluster only. All member nodes sense their.
Dec 12, 2022 · This paper proposes a dual cluster-head energy-efficient algorithm (DCK-LEACH), which is based on K-means and Canopy optimization.
Missing: CK: | Show results with:CK: