Aziz Mahboub
LIST Laboratory, Department of Computer Science, Faculty of Sciences and Techniques, Tangier, Morocco

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Energy-Efficient Hybrid K-Means Algorithm for Clustered Wireless Sensor Networks Aziz Mahboub; Mounir Arioua; El Mokhtar En-Naimi
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 4: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.507 KB) | DOI: 10.11591/ijece.v7i4.pp2054-2060

Abstract

Energy efficiency is the most critical challenge in wireless sensor network. The transmission energy is the most consuming task in sensor nodes, specifically in large distances. Clustered routing techniques are efficient approaches used to lower the transmission energy and maximize the network’s lifetime. In this paper, a hybrid clustered routing approach is proposed for energy optimization in WSN. This approach is based on K-Means clustering algorithm and LEACH protocol. The simulation results using MATLAB tool have shown that the proposed hybrid approach outperforms LEACH protocol and optimizes the nodes energy and the network lifetime.