基于压缩感知的自适应数据融合算法

An adaptive data fusion algorithm based on compressed sensing

为了降低数据融合本身的能量开销和数据传输能耗,将压缩感知理论应用到无线传感器网络的数据融合中,提出了一种自适应的数据融合算法,在路由过程中收集、融合无线传感器网络中相关节点的感知数据,使传输能耗和融合能量开销接近最小.

In order to reduce the energy costs and data transmission energy consumption in data fusion, this paper applies compressed perception theory to the data fusion of wireless sensor network. An adaptive data fusion algorithm is put forward, which can collect and fuse the node＇s perception data of the wireless sensor network in the process of routing. The method can make the transmission energy consumption and fusion energy costs close to the minimum.