针对温室内环境信息变化缓慢、冗余度大和时间空间相关性强的特点,提出了基于事件驱动与支持度融合的温室环境监测无线传感器网络(WSN)的节能传输模型。利用所建立的数据节能传输模型进行了温室环境试验,结果表明采用基于事件驱动的数据传输模型能够减少83.8%数据传输次数,基于支持度函数的数据融合能够根据数据之间的关联程度计算出各原始数据的加权值,融合效果优于算术平均值。
Since environmental information in greenhouse had the characteristics of slow changing, great redundancy, and strong spatial and temporal correlation, a energy transmission model of wireless sensor network (WSN) was proposed based on event-driven and data fusion for the acquisition of environmental information in greenhouse. With the energy transmission model the field test was conducted. The results showed that the data transmission model based on event-driven could reduce the data transmission frequency 83.8%. The data fusion based on data support function could calculate each weighted value of the original data size according to the degree of association among the data, and was better than the arithmetic mean.