Initiative prevention strategy for context inconsistency in smart home

A context-aware system generally integrates many different kinds of information techniques to build a computing environment for serving users anytime, anywhere. For a complicated context-aware system with large number of users, the interference among devices and users usually decreases the correctness and reliability of context. The incorrect context may cause context inconsistency and lead a context-aware system to trigger abnormal reactions and wrong decisions. In this paper, the prevention strategy is proposed for resolving context inconsistency. The context consistency constraints for different sensor data types are proposed and developed to prevent the context inconsistency caused by imprecise sensing devices and environmental noises. The experimental results show that the proposed consistency constraints and resolution rules can eliminate incorrect contexts effectively and improve the quality of a context-aware system in the application of smart living space.