Evaluation of energy consumption in selected clustering techniques using experimental approach

Abstract

This study focuses on wireless sensor networks, which play a vital role in modern life. A key challenge in these networks is energy consumption, which is examined in this research. Three clustering techniques were evaluated using networks with 150 and 250 nodes. The performance of these techniques was compared based on different velocities (m/s) and the percentage of energy depletion in the network. The findings indicate that among the three methods, the Fuzzy clustering technique proved to be the most energy-efficient.

Keywords: Energy Consumption, Clustering, K-Means, Fuzzy, SOM.