标题：Density-based energy-efficient unequal clustering
作者：Pan, Jian Min ;Shi, Qing Hua
作者机构：[Pan, Jian Min ;Shi, Qing Hua ] School of Computer Science and Technology, Shandong University, Shunhua Road, Jinan, Shandong Province, 250100, China
来源：Applied Mechanics and Materials
关键词：Energy balance; Node density; Random distribution; Unequal clustering; Wireless sensor networks
摘要：In this paper, we propose a Density-based Energy-Efficient Unequal Clustering (DEEUC) algorithm to solve the energy consumption imbalance problem of the nodes deployed randomly. The algorithm balances the energy consumption of the cluster by making nodes as cluster head in turn and taking the remaining energy into consideration, which makes the generation of the cluster head more reasonable. It balances the energy consumption of the cluster by generating unequal cluster with different radius based on nodes density and the distance to the sink. In the routing strategy, the cluster head node with high density is chosen as the next hop, which makes the selected node undertake more data forwarding tasks, and balances the regional energy consumption. The simulation experiments show that this algorithm can effectively balance the network energy consumption and prolong the network lifetime. © (2014) Trans Tech Publications, Switzerland.