ScudWare: A Semantic and Adaptive Middleware Platform for Smart Vehicle Space

Compared with smart spaces addressed previously, the smart vehicle space is quite special. First, unlike room, it is a high mobile space. Second, it requires frequent information exchange with the outer environment; for instance, it may need local traffic information and other local services. The complex vehicle space needs a software infrastructure of high adaptation to meet the complex and easy variational situations. This paper proposes a semantic and adaptive middleware platform, i.e., ScudWare, for smart vehicle space. In ScudWare, techniques of multiagent, context-aware, and adaptive component management are smoothly synthesized. It consists of three key components, namely 1) semantic virtual agents; 2) a semantic context management service; and 3) an adaptive component management service. This enables entities in smart vehicle space to interact autonomously, provides semantic-integration context awareness, and supports component-based adaptability and scalability. A test bed of smart car space is built to evaluate the ScudWare, which demonstrates the effectiveness and efficiency of ScudWare