Context-aware scheduling algorithm in smart home system

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.