无线传感网络数据融合能够有效减少传感节点的数据通信量,减少节点的能量消耗,延长了网络的寿命。本文提出了节点分层算法,在层内传感节点加入了具体的数据融合算法,利用拉依达准则对节点收到的数据进行异常数据检测,在上层节点利用主成分分析对剩余数据进行数据融合。通过仿真实验得出该算法数据融合结果准确率好。
Data fusion of wireless sensor networks can effectively reduce the data traffic among sensing nodes and energy consumption of nodes,and prolong the life of networks. A node hierarchical algorithm is proposed in this paper. The specific da-ta fusion algorithm is added into the sensing node inside layer. The Pauta criterion is utilized in the algorithm the to detect the abnormal data which are received by nodes. The principal components analysis (PCA) is adopted to fuse the remaining data. The simulations experiment indicates this algorithm has a high data fusion accuracy.