无线传感器网络基于定向扩散与分批估计的数据融合算法

A data aggregation arithmetic based on directed diffusion and batch estimate for wireless sensor network

无线传感器网络中采集的数据存在着较大的冗余与误差,造成能量消耗过多,并且影响数据的可靠性。针对这个问题提出一种基于定向扩散与分批估计的数据融合算法,对监测同一对象的多个传感器所采集的数据进行综合,提高数据精度和可信度,并减少数据传输量,从而降低了功耗。通过对室内环境参数(温度)的监测验证了这种算法的可行性。

The data gathering in wireless sensor network have much redundancy and error which impacts the dependability of the data and will consumes more energy. A data aggregation arithmetic based on directed diffusion and batch estimate is proposed which integrate the data of multi-sensors for watching one object to improve the precision of the data and reduce the data stream to decrease energy consumption. Then validating the feasibility of this method through watching the parameter of indoor environment （temperature）.