What is it about?
Finding optimal value using centroids/coordinates/range values is simplified by using k-means approach. This approach is widely used in addressing optimization issues in various algorithmic format of designs. In our proposed work we slightly modified this k-means and improved the network performance
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Why is it important?
WSNs are suffering from energy consumption due to several constraints. Here addressed to use clustering technique so that to improve energy saving options in the working scenario
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations. This article also lead to several researchers in WSN field contacting me and ultimately to a greater involvement in wireless sensor network research forum.
Dr. Sasikumar Periyasamy
Vellore Institute of Technology, India
Read the Original
This page is a summary of: Balanced Cluster Head Selection Based on Modified k-Means in a Distributed Wireless Sensor Network, International Journal of Distributed Sensor Networks, March 2016, SAGE Publications,
DOI: 10.1155/2016/5040475.
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Contributors
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