物联网中一种数据融合算法的研究

Research Into A Data Integration Algorithm in The Internet of Things

针对物联网中的传感器的数据采集存在的冗余的问题,提出了一种新的数据融合算法,通过数据的时间间隔增量融合和数据间隔增量融合的两层融合来进行数据的压缩和解压缩。通过仿真实验说明了,本文算法能够降低时间消耗,有利于分布式数据的存储处理。

Aiming at the redundancy in data collection of sensor in the Internet of Things,a new data integration algorithm is proposed,which compresses and decompresses the data through integration of data time gap increase and integration of added gap integration. Simulation experiment shows that algorithm in this paper can reduce time consumption and is beneficial to store and process distributive data.