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Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 7, July 2014
A Balanced Cluster Head Selection Based On k-Medoids to Enhance Wireless Sensor Network Life Time
Priyanka Devi | Khushneet Kaur [3]
Abstract: In this paper, a new clustering algorithm has been developed using k-medoids clustering algorithm for WSNs. The new algorithm is aimed to develop an algorithm, which perform better than the k-means and LEACH for WSNs. It is widely known that if cluster formation algorithm computes the cluster head according to the node density in a particular cluster. It is also known that the cluster head selection results are better in k-Medoids than k-Means. It has been already proved that k-Means performs better than LEACH. So our aim was to develop a clustering and cluster head selection algorithm based on k-Medoids which performs better than k-Means. In this paper, we have published the results of our new clustering and cluster head selection algorithm based on k-Medoids. This algorithm has improved the network lifetime than the k-Means algorithm by using the balanced cluster head selection based on the network density weight.
Keywords: WSN clustering, k-Medoids, cluster head selection, Network Lifetime
Edition: Volume 3 Issue 7, July 2014,
Pages: 2111 - 2114
Similar Articles with Keyword 'Network Lifetime'
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Research Paper, Electronics & Communication Engineering, India, Volume 12 Issue 3, March 2023
Pages: 1717 - 1724Enhancing Node Activation in Sensor Networks Using MOCL - RFSA for Maximized Coverage, Connectivity, and Minimized Interference
R. Christal Jebi [2] | S. Baulkani [2]
Downloads: 104
Case Studies, Electronics & Communication Engineering, India, Volume 6 Issue 2, February 2017
Pages: 1890 - 1894Validation of Ant Colony Optimization Algorithm for Longevity Maximization in Wireless Sensor Network
Laxmi Narendra Pawar [2] | H. M. Baradkar [2]