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Clustering Model Based on Node Local Density Load Balancing of Wireless Sensor Network

Wireless sensor networks have received increasing attention in the recent few years. In many military and civil applications of sensor networks, sensors are constrained in energy supply. In this paper, a distributed algorithm is proposed to ensure that the mean square deviation value of the number of member node within each cluster be as small as possible, and thus effectively balance the number of member node among each cluster. To evaluate the efficiency of our algorithm we have studied the performance of sensor networks applying various different algorithms. Simulation results validate the effectiveness of this algorithm.