Dynamic resource management for adaptive distributed information fusion in large volume surveillance

Roozbeh Farahbod; Uwe Glässer; Hans Wehn

doi:10.1117/12.777767

17 March 2008 Dynamic resource management for adaptive distributed information fusion in large volume surveillance

Roozbeh Farahbod, Uwe Glässer, Hans Wehn

Proceedings Volume 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008; 69740C (2008) https://doi.org/10.1117/12.777767
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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.

Citation Download Citation

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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