随着物联网(IoT)中设备的种类和数目增多,产生的数据量激增,海量数据不但加重网络负载,同时影响物联网的传输和处理速度。而一些处理上比较简单的实时数据,在感知层设备获取之后直接进行数据融合,不但能够节省大量带宽,还能降低处理所需时间,提高实时性。基于这种思想,提出感知层节点连通算法,使感知层设备协同进行数据处理工作。实验证明:感知层节点连通算法能够实现节点之间的连通,实现在感知层设备之间交换信息,协同工作,降低网络负载,提高实时性的目的。
With increasing of types and numbers of equipments, amount of data generated in Internet of thing- s (loT)increase. Massive data will not only increase network load, but also affect transmission and processing speed of loT. But some simple realtime data in processing, after perception layer equipment acquisition, directly carry out data fusion,it can not only save a lot of bandwidth, but also reduce processing time and improve realtime. Based on this idea, propose perception layer node connectivity algorithm to achieve connectivity between nodes, and realize information exchange between perception layer equipments, cooperate work, reduce network load, and improve realtime.