Collaborative data fusion tracking in sensor networks using Monte Carlo methods

The multi-modality nature of sensor networks and their potentially large-scale deployment have generated highly dimensional network data. This paper proposes a hierarchical collaborative data fusion scheme based on particle filters for cross-sensor fusion and cross-modality fusion for target tracking applications.