%0 Journal Article
%T Data fusion research based missing data inwireless sensor networks<br>无线传感器网络含有缺失数据的数据融合研究
%A LIN Wei
%A YIN Juan
%A <br>林　蔚
%A 尹　娟
%J 计算机应用研究
%D 2012
%I 
%X 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.
%K wireless sensor networks
%K data missing
%K data fusion
%K linear combination fusion
%K adaptive weighted fusion<br>无线传感器网络
%K 缺失数据
%K 数据融合
%K 线性组合融合
%K 自适应加权融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F6B2E1193D3BD8E6B14154C2C81EAAFE&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=1561684BA60D697D&eid=6A3ADF63BC069E26&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12