Life Time Enhancement of Wireless Sensor Network Using Fuzzy C-Means Clustering Algorithm

Kumar, Pramod and Chaturvedi, Ashvini (2014) Life Time Enhancement of Wireless Sensor Network Using Fuzzy C-Means Clustering Algorithm. In: IEEE International Conference on “Electronics and communication System ( ICECS-14)” , 13-14 March 2014, Karpagam College of Engineering, Coimbatore.

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Abstract

The major issues in wireless Sensor Networks (WSNs) are efficient uses of limited resources and appropriate routing of network paths under severely constrained energy scenarios. To overcome these issues; k-means and fuzzy c-means algorithms are investigated to form clusters and for subsequent selection of cluster heads. For all these clusters; selection of cluster head is done based on member sensor nodes residual energy status (RES) and estimation of Euclidean distances. Depending upon the Euclidean distance measure between the sink node and center of gravity of clusters; these clusters are classified into five types. Further, RES estimations are presented for cluster heads as well simple sensor network nodes.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: K-means, Fuzzy c-means (FCM), Residual Energy Status, Network Life Time, Wireless Sensor Networks
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 26 Jul 2014 09:55
Last Modified: 26 Jul 2014 10:14
URI: http://eprints.manipal.edu/id/eprint/140255

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