基于动态移动环境的不确定数据管理研究

Study on Management in Dynamic Mobile Environments Based on Uncertain Context Data

由于在移动感知系统中需要不断升级和修改模型,而且用移动感知系统的数据是不确定的,传感数据巨大并且要被软件实时处理,所以运用上下文进行获取、处理并且推导信息是一项挑战工作.提出了一种移动感知系统,该系统能处理不确定动态数据,定义了系统的主要需求并讨论了三种处理方法.结果表明该技术能节省电力,保持存储容量.

Because the model needs to be constantly upgraded and modified in the mobile sensing system,data of the mobile sensing system is uncertain,and there is a lot of sensor data processed by real-time software.Acquisition,processing and the derivation of information out of context is a challenge.In this paper,a mobile sensing system is proposed,which can process uncertain dynamic data.The main requirements of the system are defined and three processing methods are discussed.The results show that the technology saves power and maintains storage capacity.