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Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks - 2015

Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks

Research Area:  Wireless Sensor Networks

Abstract:

In this paper an energy usage estimation technique (LCEFCM) has been proposed which employs the Fuzzy C-Means clustering for creating clusters in the Wireless Sensor Networks. LCEFCM reduces the energy consumption considerably compared to other clustering methods like simulated annealing and K-Means clustering. It applies the dynamic clustering mechanism combined with balanced clustering method. LCEFCM outperforms LEACHC, LEACHC Estimate(LCE) and LCEKMeans for various performance measuring factors like network lifetime, data received, alive nodes etc.

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Author(s) Name:  Gaurang Raval and Madhuri Bhavsar

Journal name:  International Journal of Computer Applications

Conferrence name:  

Publisher name:  IJCA

DOI:  10.5120/19938-2104

Volume Information:  Volume 113 - Number 19