Model-Based Data Collection in Wireless Sensor Networks

Abstract: Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. But sensors do not exhaustively represent the data in the real world. We have to map the raw sensor readings onto physical reality. In this paper, we enrich interactive sensor querying with statistical modelling techniques. We demonstrate that such models can help provide answers that are both more meaningful and more efficient to compute in both time and energy. Our approach works on several real world sensor-network data sets demonstrating that our model-based approach provides a high-fidelity representation of the real phenomena and leads to significant performance gains versus traditional data acquisition techniques