Intelligent Context-Based Adaptation for Spatial Routing Applications in Dynamic Environment

The increasing capabilities of mobile devices, and advances in wireless networking technologies enable mobile computing systems to introduce more intelligent behaviors to support their services such as spatial navigation for drivers. Mobile applications should be able to be aware of, and adapt to environment changes to provide more customized services to their users. Building mobile applications by specifying built-in adaptation mechanisms would be inefficient, error-prone, and lack of flexibility. This research proposes a context adaptation layer (CAL) which incorporates current environment contexts and user goal contexts, to generate a holistic adaptation view at CAL and therefore provide a deliberative guide to the service adaption in the separate service adaptation layer (SAL). The system model is validated through a dynamic spatial routing application in urban area.