Dynamic resource management for adaptive distributed information fusion in large volume surveillance
Roozbeh Farahbod, Uwe Glässer, Hans Wehn · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
We propose a highly adaptive and auto-configurable, multi-layer network architecture for distributed information fusion to address large volume surveillance challenges, assuming a multitude of different sensor types on multiple mobile platforms for intelligence, surveillance and reconnaissance. Our focus is on network enabled operations to efficiently manage and improve employment of a set of mobile resources, their information fusion engines and networking capabilities under dynamically changing and essentially unpredictable conditions. A high-level model of the proposed architecture is formally described in abstract functional and operational terms based on the Abstract State Machine formalism. This description of the underlying design concepts provides a concise and precise blueprint for reasoning about key system attributes at an intuitive level of understanding.