文献类型：期刊文献

中文题名：基于智能家居系统的上下文感知调度算法（英文）

英文题名：Context-Aware Scheduling Algorithm in Smart Home System

作者：郑红[1];潘理[2];王靖虓[1]

机构：[1]E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China;[2]Hunan Inst Sci & Technol, Dept Informat & Commun Engn, Yueyang 414006, Peoples R China

年份：2013

卷号：10

期号：11

起止页码：155

中文期刊名：China Communications

外文期刊名：中国通信（英文版）

收录：CSTPCD;;Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000327239700016)】；CSCD:【CSCD2013_2014】；

基金：This work was partially supported by the National Natural Science Foundation of China under Grant No. 61103115; the Hunan Provincial Natural Science Foundation of China under Grant No. 11JJ4058; and the Scientific Research Fund of Hunan Provincial Education Department under Grant No. 11A041.

语种：中文

中文关键词：智能家居系统;环境感知;调度算法;信息系统;应用程序;上下文;生活空间;调度策略

外文关键词：pervasive computing; smart-home;reasoning scheduling; correlation

摘要：The main idea of pervasive computing is to make computing exist everywhere in the physical world.The smart home system is an important realisation of pervasive computing whose aim is to provide system users with an intelligent life experience.The key technique used to realise this is context awareness.Contexts in the living space can provide large amounts of information regarding users’behaviours and habits.Together with an information system,it can automatically execute many common operations of applications,instead of users,and can make the applications"smart".However,since contexts in the environment are diverse and sensitive,it is difficult to choose the ones that are most useful to the users’current activity.A proper scheduling strategy should first consider the users’demand.This paper proposes a context-aware scheduling algorithm that is based on correlation,with the purpose of improving the utilization rate of context collections.Experiments show that with the priority based on correlation in low-level contexts,the scheduling of reasoning tasks can reduce the cost of transmission.
The main idea of pervasive com- puting is to make computing exist everywhere in the physical world. The smart home system is an important realisation of pervasive com- puting whose aim is to provide system users with an intelligent life experience. The key technique used to realise this is context awareness. Contexts in the living space can provide large amounts of information regard- ing users＇ behaviours and habits. Together with an information system, it can automati- cally execute many common operations of applications, instead of users, and can make the applications ＂smart＂. However, since con- texts in the environment are diverse and sensi- tive, it is difficult to choose the ones that are most useful to the users＇ current activity. A proper scheduling strategy should first con- sider the users＇ demand. This paper proposes a context-aware scheduling algorithm that is based on correlation, with the purpose of im- proving the utilization rate of context collec- tions. Experiments show that with the priority based on correlation in low-level contexts, the scheduling of reasoning tasks can reduce the cost of transmission.