无线传感器网络簇内实时数据融合研究

Research on Clustering-Based Real Time Data Fusion Method in WSN

现有的无线传感器网络数据融合技术存在数据延迟和数据正确性两方面的问题。针对该问题设计一种基于簇内实时数据融合的方法,该方法首先通过量化计算将数据划分为紧急数据和非紧急数据并作标记,将紧急数据迅速融合传给用户以提高实时性。在融合过程中引入传感器测量修正并结合关系矩阵法对数据进行相应的融合处理,然后对融合结果进行分析并进行反馈调整。仿真实验结果表明,该方法能够提高簇内实时数据融合正确性并且降低数据延迟。

The existing techniques of data fusion in wireless sensor network have two problems： transmis- sion delay and data accuracy. Designs a clustering-based real time data fusion method, in this method, the data are classified into urgent data and non-urgent data through the calculation and marked, the urgent data are aggregated and transmitted immediately to improve the real time performance. During the aggregation process uses the sensor calibration and relationship matrix method to aggregate data, and then analyzes the results of aggregation to do the feedback adjustment. The result of simulation shows that this method can decrease the delay and improve the accuracy of data aggregation.