Service Reconstruction for Improving Performance Using Classified Service Pattern and a Session Manager-Based Architecture in Smart Homes

In smart home, people who use of context-aware systems should expect to be more dynamic and adaptive services by analyzing residents along with life styles. Currently, the research effort is focused on the service-oriented structure and ontology-based context model. However, the conventional model did not consider the classified service, service reconstruction and definition of service type by classified service patterns. In this paper, we propose a session manager which manages service registration states and classified service according to the user movements. Moreover, a session manager offers to analyze the service pattern by changing environments and user location. Our system could create the dynamic services according to service pattern analysis. Therefore, our system reduces the offered service delays and improves the maximum 64% performance of service response time compared with non-existence the session manager. We show the feasibility of our system by evaluating the efficiency on a test bed.