Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
