AndroCon: An Android-Based Context-Aware Middleware Framework for Data Provisioning

Mobile devices have become major sources of context-aware data due to their ubiquity and sensing capabilities. However, deploying mobile devices as dynamic, unabridged context data provider either locally or remotely is still challenging due to their limited computing capability. Furthermore, integrating physical sensor data with social context data from online social networks is necessary for rich context data provisioning. In this paper, we present AndroCon, an Android-based context-aware middleware framework that enables mobile devices to acquire, integrate, manage, and provision context data. We have applied AndroCon to manage social and physical context data from various sources and have evaluated its performance in terms of power consumption and CPU utilization.