Threshold-based context change detection for ubiquitous environments

The increase of mobile and interconnected devices leads to the growth of demands for pervasive and mobile applications. Due to the heterogeneity of devices in terms of resources, capabilities, etc., these applications have to adapt themselves to the context changes and the execution environment. This requires the development of context aware applications that must perform four phases. Collecting and monitoring context, analyzing context, deciding adaptation actions and finally executing the planned adaptation actions to respond to the context changes. We focus on the second phase (analyzing context). It's aim is to analyze context to detect changes. In this paper, we propose a context analysis approach that relies on different thresholds defined according to the user needs to detect changes and raise notifications when changes occur. The analysis approach is divided into three steps. A context storage step, a context classification step, and a threshold calculation step.