Data fusion research based missing data inwireless sensor networks
无线传感器网络含有缺失数据的数据融合研究

This paper proposed a simple and feasible twice data fusion algorithm TFA to solve the problem of data fusion based data missing. As considered the sensing data's temporal and spatial correlation, it used the linear interpolation imputation algorithm and the regression analysis imputation algorithm to estimate the missing data, then used an adaptive linear combination fusion algorithm to estimate. As considered the data of each node, it also used an adaptive weighted fusion algorithm to estimate. The simulation results show that the algorithm has lower computing cost and better fusion effect with data missing case.