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Dynamic Resource Configuration & Management for Distributed Information Fusion in Maritime Surveillance

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Abstract State Machines, B and Z (ABZ 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5238))

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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. Building on realistic application scenarios adopted from the design and development of the CanCoastWatch system [1], we contend that distributed system concepts based on decentralized control mechanisms are crucial for the design of robust and scalable network enabled operations for several reasons.

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References

  1. Farahbod, R., Glässer, U., Wehn, H.: CanCoastWatch Dynamic Configuration Manager. In: Proc. of the 14th Int’l Abstract State Machines Workshop (2007)

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  2. Farahbod, R., Glässer, U., Wehn, H.: Dynamic resource management for adaptive distributed information fusion in large volume surveillance. In: Proc. of SPIE Defense & Security Symposium (2008)

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  3. Börger, E., Stärk, R.: Abstract State Machines: A Method for High-Level System Design and Analysis. Springer, Heidelberg (2003)

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Egon Börger Michael Butler Jonathan P. Bowen Paul Boca

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© 2008 Springer-Verlag Berlin Heidelberg

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Farahbod, R., Glässer, U. (2008). Dynamic Resource Configuration & Management for Distributed Information Fusion in Maritime Surveillance. In: Börger, E., Butler, M., Bowen, J.P., Boca, P. (eds) Abstract State Machines, B and Z. ABZ 2008. Lecture Notes in Computer Science, vol 5238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87603-8_31

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  • DOI: https://doi.org/10.1007/978-3-540-87603-8_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87602-1

  • Online ISBN: 978-3-540-87603-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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