Using energy effectively is a vital requirement in Wireless Sensor Networks (WSN). This study studies some clustering algorithms in recent years and proposes a new clustering algorithm called DSCA which is based on D-S evidence theory. DSCA aims to reduce unnecessary energy which is wasted in fixed operation periods and too much overhead in cluster-head selection phase. DSCA modifies D-S evidence theory and applies it to adjust an adaptive operation period. Simulation results show that DSCA reaches a better performance in saving energy and network lifetime. So, DSCA is more energy-efficient and suitable in WSN.
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