Similarity Based Distributed Context Reasoning with Layer Context Modeling

Context-awareness service is one of the key features in ubiquitous computing system. In heterogeneous pervasive computing environment, effective context modeling and reasoning are important to enable the collaboration and distributed reasoning among the agents. The effectiveness of the previous approaches for distributed reasoning significantly degrades when a large number of agents are involved. In order to solve this problem we propose a layered context model efficiently facilitating distributed reasoning. We also propose similarity-based context reasoning which takes the correlation of context models into account. The performance of the proposed scheme is verified by computer simulation, which shows that the trust of reasoning outcome is greatly enhanced.