An energy-efficient clustering algorithm in wireless sensor networks

Reducing node energy consumption is a vital requirement in wireless sensor networks. In this paper, we studied classic clustering algorithms in wireless sensor networks and find two main reasons causing unnecessary energy consumption, which are fixed operation periods and too much information exchanged in cluster-heads selection. Then a more energy-efficient clustering algorithm is proposed, whose kernels are adaptive operation period model and a new cluster-heads selection method. Simulation results show that the proposed protocol is more energy-efficient and suitable for wireless sensor network.