基于最小二乘与D-S证据理论的WSN层次式数据融合算法

Hierarchical Data Fusion Algorithm of WSNs Based on Least-Squares and D-S Evidence Theory

中文关键词:  无线传感器网络  层次式数据融合  最小二乘算法  D-S证据理论

英文关键词:wireless sensor networks  hierarchical data fusion  least-squares algorithm  D-S evidence theory

中文摘要:

      无线传感器网络中,数据融合技术是降低网络数据通信量、节省节点能耗和延长网络寿命的重要措施之一。为了在兼顾降低数据量的同时提高对事件的识别精度,提出了一种基于最小二乘法和D-S证据理论的层次式数据融合算法。算法在Sink节点上,以最小二乘算法融合从传感器节点上传的数据,降低了Sink节点与监控中心的通信量;在监控终端上采用D-S证据理论建立识别框架,通过证据的不断积累,提高了事件的识别精度。

英文摘要:

      Data fusion technology is one of the important measures of reducing the data traffic,saving the energy of the nodes and prolonging network lifetime in wireless sensor network (WSN).In order to reduce the data traffic and improve the incident identification accuracy,a hierarchical data fusion algorithm is proposed,which is based on least squares algorithm and D-S evidence theory.On the Sink node,least-squares algorithm is to fuse the data frame that sensor nodes upload for the purpose of decreasing the traffic between Sink node and fusion centre.On the monitor terminal,D-S evidence theory is used to improve the accuracy of incident identification through continuous accumulation of the evidences.