针对无线传感器网络中现有数据融合技术对由融合引起的延时考虑较少,难以满足实时性需求的不足,提出一种带反馈的实时数据融合策略FRDA。对不同类别的数据进行实时自适应分级,将紧急数据迅速融合并传输给用户,达到延时和融合效率的折衷。仿真实验结果表明,带反馈的实时融合数据方法对不同服务加以区分,有效地保证了紧急数据的实时处理,且没有降低数据的融合精度。
After the existing techniques of data aggregation in wireless sensor network are analyzed, it is found that the delay caused by aggregation processing is less concerned, which is difficult to meet the realtime demands. Considering the application requirements, a faceback realtime data aggregation (FRDA) strategy is proposed. The data are classified in realtime adaptively, and the urgent data are aggregated and transmitted rapidly that obtains a tradeoff between delay and aggregation efficiency. The results of simulation demonstrate that the proposed FRDA can effectively guarantee the realtime performance of urgent data processing, while does not decrease the precision of data.