Probabilistic Geomagnetic Fingerprinting for Low-Power Orientation Estimation utilising Geometric Models

This work presents a new approach to estimate the orientation of wireless sensor nodes (WSN) using geomagnetic sensors. The main contribution is a new algorithm for supervised orientation estimation using geomagnetic fingerprinting. Combined with hierarchical sensing our approach leads to a significant reduction of power consumption.