基于空间相关性的无线传感器网络成簇方法

Clustering Method of Wireless Sensor Network Based on Spatial Correlation

对于无线传感器网络的管理目前被广泛地使用的方法是基于簇结构的方式,因此,提出了一种基于空间相关性的成簇方法(SCBCA)。利用无线传感器网络中邻近节点感知到的信息具有相关性这一特点进行成簇,利用数据标准差来计算节点之间的空间相关程度,并且簇结构可根据全网节点相关性的变化做出相应的调整,以保证簇内节点之间始终保持较好的相关性,簇中只需要代表节点发送数据就足以监测全网情况,其他节点处于睡眠状态,以节省网络能量,主副簇头的运用进一步优化了网络性能。仿真实验表明,SCBCA方法在网络能耗、覆盖度等方面均具有良好的表现,具有一定的推广使用价值。

The current widely used method for the management of wireless sensor networks is a cluster structurebased approach.Therefore,a clustering method based on spatial correlation is proposed.Clustering is carried out based on the characteristics that the information perceived by adjacent nodes in wireless sensor networks has correlation.The standard deviation of the data is used to calculate the spatial correlation between nodes,and the cluster structure can be adjusted according to the change of the correlation of the whole network to ensure the good correlation between nodes within the cluster.Only the representative nodes in the cluster sending data is enough to monitor the whole network,and other nodes are in the sleep state to save the network energy,and the use of the primary and secondary cluster head further optimizes the network performance.The simulation results show that SCBCA method has good performance in the aspects of network energy consumption and coverage,and has a certain popularization value.