Demand Forecasting Based on Internet of Things

摘要：

The advancement of ubiquitous computing technologies, such as wireless networks and mobile devices, has greatly increased the availability of digital information and services hi demand forecasting and changed how we access and use them. A kind of technology that extends digital resources to demand forecasting is the Internet of Things, which connects such resources with everyday objects with RF7D. This way, real-world objects get digital identities and can then be Integrated into a network and associated with digital information or services. These objects can facilitate access to digital resources and support interaction with them, decision makers who wish to make even better decisions based on deeper insight from process innovation as well as right-time analysis of real-time data can use information from tagged objects through mobile devices. In this paper, an algorithm for demand forecasting based on Internet of Things is proposed.

关键词： demand forecasting algorithm Internet of Things

作者: Jian-ping Qiu Li-chao Chen

作者单位: school of Computer Science, Taiyuan University of science and technology Taiyuan, China school of Computer Science, Taiyuan University of science and technology Taiyuan,China

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 45-48

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）