LI Na, XUE Jian-sheng. Nodes connectivity algorithm based on perception layer in IoT[J]. 2014, 33(11): 139-141+148. DOI: 10.13873/J.1000-9787(2014)11-0139-03.
基于物联网感知层的节点连通算法
摘要
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。
Abstract
With increasing of types and numbers of equipments
amount of data generated in Internet of things( IoT) increase. Massive data will not only increase network load
but also affect transmission and processing speed of IoT. 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