无线传感器网络中非均匀的最少分簇能耗均衡算法

无线传感器网络中，邻近基站的节点由于承载过多的数据量而过早死亡，从而引发热点问题。采用簇结构可以减轻热点问题，同时降低整个网络的能量消耗，但是簇头昂贵。为此提出了一种非均匀的最少分簇能耗均衡算法（EBUC），在该算法中，首先建立了一个最少覆盖模型，以优化簇头个数，并在此基础上研究如何通过调整簇内节点个数和融合相关度来均衡能耗，从而有效减轻热点问题。实验结果表明，通过调整簇内节点个数和限制融合相关度的大小，该算法可有效延长网络生存时间。

Unequal energy-balancing algorithm based on least-clustering in wireless sensor networks

In wireless sensor networks, nodes closer to the base station are prone to die because of excessive flow, in which becomes a hot issue. Forming clusters can not only address this issue, but also reduce energy consumption of the whole network. However, cluster head is much more expensive. An unequal energy-balancing algorithm based on least-clustering (EBUC) was proposed in this paper, in which a least coverage model was established at first to optimize the cluster head number. On this basis, how to adjust the number of cluster member and aggregation coefficient to balance energy consumption was studied. The simulation results prove that, through varying the number of cluster members and restricting aggregation coefficient, the algorithm can efficiently prolong network lifetime.