高斯分布无线传感器网络簇头选择算法

Algorithm in choice of head-node on WSNs based on Gaussian distribution

针对无线传感器网络的能量受限问题,通常采用分簇聚合减少数据传输来实现能量节省。提出了一种基于高斯分布的分簇网络模型的簇头选择算法,构建了簇头选择函数的概率模型。模型以信道增益、剩余能量、簇内节点间距离及节点位置为参数,通过比较节点的概率函数值选择簇头。结果表明该选择算法能较大程度地提高网络能耗效率、延长网络生存时间。

For the problem of energy constrained in WSNs,clustering aggregation is usually used to reduce the transmission of data in order to achieve the purpose of energy saving.This paper presents a cluster-head selection algorithm on clustering network model based on Gaussian distribution,and constructs a probabilistic model of cluster head selection function.The model uses channel gain,residual energy,inter-sensor distance in a cluster and geographical location as parameters,and selects one cluster head node by comparison of the value of nodes＇probability function.The results show that the selection algorithm can improve network energy efficiency in a greater degree,extend the network lifetime.