Towards a Context-aware Middleware in Smart Car Space

Cars have become an increasingly important and exciting test bed for ubiquitous computing. However, smart car space is still little addressed in the literature to enable high adaptation in a mobile and resource-limited space. This paper focuses on building a context-aware software infrastructure for smart car space in middleware framework. To support context-awareness, we embed capabilities of context modeling and context reasoning. We apply a three-layer manner, including sensor, context atom, and context situation, to efficiently acquire and process contexts. We implement rule-based reasoning in our prototype. We evaluate the performance, and show the proposed middleware is promising.