基于卡尔曼滤波的数据融合在无线传感器网络中的研究

Research on Data Fusion into WSNs Based on Kalman Filter

为了减少节点传输数据量和网络总能量的消耗,本文针对特定应用模型,提出了基于卡尔曼滤波的数据融合算法,并用MATLAB工具进行仿真实验,证明该融合方法提高数据精确度和可信度.

Minimizing network traffic and energy consumption is of major concern in such networks. This paper promotes a data fusion method wireless sensor networks based on Kalman filter for this problem, according to the specific application model. Then it uses simulation tool of MATLAB to have a simulating experiment. The results indicate that this data fusion method improves the precision and the feasibility of the data.