一种基于改进Bayes估计和能量均衡的WSN数据融合节点选取方法

A DATA AGGREGATOR SELECTION METHOD IN WSN BASED ON IMPROVED BAYES ESTIMATION AND ENERGY BALANCE

在无线传感器网络数据融合过程中,为了保证数据融合节点本身的可靠性以提高其融合数据的准确性,提出一种基于改进Bayes估计和能量均衡的无线传感器网络数据融合节点选取方法.选取信任值高的节点作为潜在的融合节点,为避免高信任节点多次当选为融合节点从而过早地消耗掉自身的能量,将节点剩余能量作为参数共同考察潜在的融合节点,从而可以在一定程度上达到网络节点能量均衡的效果.仿真实验表明,所提方法能够在降低数据融合节点的平均耗能,提高网络传递的数据正确率等几个方面取得较好的效果.

In the process of data aggregation in wireless sensor networks,to ensure the reliability of data aggregator nodes themselves so as to improve the accuracy of the aggregated data,this paper proposed a data aggregator selection method based on improved Bayes estimation and energy balance in wireless sensor networks.We selected the nodes with higher trust value as the potential aggregator nodes.To avoid the higher trust nodes to be selected as the aggregator nodes for many times so as to use up their energy too early,we used the residual energy of the nodes as a parameter to evaluate these potential aggregator nodes.It could achieve the effect of energy balance among the network nodes to a certain extent.The simulation experiments show that the proposed method can achieve better results in reducing the average energy consumption of the data aggregator nodes and improving the data correctness of the network transmission.