电讯技术Issue(10)：1347-1351,5.DOI:10.3969/j.issn.1001-893x.2013.10.018
一种基于周期模型的物联网实体实时预测方法
A Real-time Forecasting Method of Entities in Internet of Things Based on Cycle Models
孔英会 1沈丹凤1
作者信息
- 1. 华北电力大学 电子与通信工程系，河北 保定071003
- 折叠
摘要
Abstract
The analysis and processing of vast amounts of data of entities in the Internet of Things( IOT) has become the basis for the development of IOT application layer. Many applications need to predict the states of entities in IOT. States of entities in IOT are strong real-time and high dynamic. By judging cycle mode of entities in IOT and establishing the time window of a specific period of time, reasonable prediction model is used to predict the probability value of future state of entities. The prediction method is of short time-consuming and high accuracy. With this method,the prediction result can be given in 2~4 s and it is in accordance with actual one. It plays a role of good indicator in the decision-making analysis of IOT ap-plication layer.关键词
物联网/应用层/实体状态/实时预测/周期模型Key words
Internet of Things/application layer/entities state/real-time forecasting/cycle model分类
信息技术与安全科学引用本文复制引用
孔英会,沈丹凤..一种基于周期模型的物联网实体实时预测方法[J].电讯技术,2013,(10):1347-1351,5.
