Abstract
Crowd-sensing is becoming a popular computing and sensing paradigm for enclosing humans in the sensing loop. The underlying idea is that people, together with their mobile device, can act as mobile and pervasive sensors, gathering information about the surrounding environment and potentially providing direct input. In this work we focus on how to embed context-awareness in a crowd-sensing system in order preserve the battery of user's mobile device, while maximizing the user participation to crowd-sensing campaigns. We present the design and implementation of the Matador platform, and a preliminary evaluation obtained through a small-scale pilot study.