In deploying a sensor network in a challenging environment, it is crucial to consider energy consumption to ensure an extended network lifespan. Since the inception of sensor networks, researchers have proposed various energy-saving solutions outlined in the introduction. In our study, we introduce a novel approach for cluster formation and positioning of clusters and base stations to minimize energy consumption in implementing clusters using the K-MEAN algorithm. Through simulation, we demonstrate that the Syracuse-WSN algorithm significantly outperforms the traditional K-MEANS algorithm in conserving energy consumption.

Energy, K-MEAN, Syracuse, WSN, SHEM.