DANCE will allow to improve and widen the scope of the fruitful results obtained with static sensor networks using optimized algorithms and systems for non-stationary scenarios. Concretely, the following objectives/developments will be addressed: acoustic characterization of the application scenarios, algorithms to generate self-knowledge in the sensor network, signal processing algorithms for sound equalization and control, as well as source detection and classification, in time-varying scenarios. Furthermore, a very important objective in this project is the development of algorithmic solutions that are conscious of power consumption.