一种高效的无线传感器网络自组织聚类算法

提出了在无线传感器网络(WSN)中一种高效的自组织聚类算法。该算法随机产生群集,并根据传感器的权重选择簇头的。首先产生,并根据密度以及剩余能量计算每个传感器的权重。选择权重最大的作为该群集的簇头。其次,当群集大小低于某个阈值时,需要重新组织群集并重新选择簇头。仿真结果证明,该算法能够均匀的分布传感器能量消耗,从而延长了传感器网络的生命周期。

An efficient self-organization cluster algorithm on wireless sensor network

the paper proposes an efficient cluster-based self-organization algorithm for wireless sensor networks. This algorithm can generate clusters randomly and elect cluster -head according sensor weight. Firstly, generate clusters calculate sensor weight based on the density and remaining energy, elect cluster-head whose weight is the largest. Then reorganize the cluster when the size of cluster is lower than some threshold. Simulation results illustrate that this algorithm can evenly distribute energy consumption of sensors and prolong the network lifetime.