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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Farahbod, R., Glässer, U., Wehn, H.: CanCoastWatch Dynamic Configuration Manager. In: Proc. of the 14th Int’l Abstract State Machines Workshop (2007)
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)
Börger, E., Stärk, R.: Abstract State Machines: A Method for High-Level System Design and Analysis. Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)