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17 March 2008 Dynamic resource management for adaptive distributed information fusion in large volume surveillance
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Abstract
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.
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Roozbeh Farahbod, Uwe Glässer, and Hans Wehn "Dynamic resource management for adaptive distributed information fusion in large volume surveillance", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740C (17 March 2008); https://doi.org/10.1117/12.777767
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