Title:

OS10-4 Implementation of the X-means Clustering Algorithm for Wireless Sensor Networks

Publication: ICAROB2020
Volume: 25
Pages: 333-337
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2020.OS10-4
Author(s): Abdelrahman Radwan, Nazhatul Hafizah Kamarudin, Mahmud Iwan Solihin, Chun Kit Ang, Hungyang Leong, Mohamed Rizon
Publication Date: January 13, 2020
Keywords: K-means, X-means, Clustering, Wireless, Sensors, Networks
Abstract: K-means clustering algorithms in wireless sensor networks (WSNs) are potential solutions that prolong the network lifetime. However, there are limitations hampering these algorithms, such as size of clusters and the number of clusters. This paper proposes implementing X-means algorithm as a new clustering technique that overcomes Kmeans limitations; clusters constructed using tentative CHs and tentative area of centroids in an initial phase, After that, if a cluster meets splitting criteria, new centroids selected and new clusters constructed.
PDF File: https://alife-robotics.co.jp/members2020/icarob/data/html/data/OS/OS10/OS10-4.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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