Applying network analysis for extracting knowledge about environment changes from heterogeneous sensor data streams

Sensor network analysis has become a challenging task. The detection of sensor anomalies is one of the most prominent topics in this research area. In the past, researchers mainly focused on the detection and analysis of single-sensor anomalies. In this paper, we shift the focus from a local approach, aimed to detect anomalies on single sensors, to a global one, aiming at detecting and investigating the consequences, on the whole sensor network and/or its subnetworks, of anomalies present in one or more (heterogeneous) sensors.