In a large variety of applications, sensors of different types are deployed to continuously capture their environment. The applications then have to process and analyze the streams of data generated by these sensors. Sensor analysis is quite challenging when not only the activities of individuals but also the interaction of individuals has to be assessed (e.g., the collective actions of players in a sports team). In our work, we aim at monitoring, coordinating, and analyzing the actions of teams of individuals in real-time in highly dynamic and mobile environments in a robust and scalable way. This is done by following a workflow-oriented approach that goes beyond the mere data collection about sensed facts and the post-hoc analysis of simple events.