无线传感器网络中不确定数据的估计算法

摘要

Aiming at the uncertainty of the data tuples,a new algorithm using the temporal and spatial correlation is proposed.To use the historical data of WSN nodes and combine with Hermite and DESM model,the algorithm can estimate the approximated result of uncertain data by adaptively adjusting the weights of temporal model and spatial model.This kind of improvement can increase the reliability of wireless networks.Experimental result indicates the algorithm is effective and stable.%针对数据元组本身所产生的不确定性,利用WSN节点的历史数据,结合Hermite和DESM模型,提出利用感知数据的时-空相关性的估计算法,该算法能自适应调整时间和空间模型的权值对不确定数据进行估计,以提高无线网络的可靠性,实验表明该算法有较好的稳定性和较高的估计精度.