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.
If you cannot see the document below, the PDF document is most likely not freely accessible. In this case, please try to access the document via this link.
% BibTex
@inproceedings{FarahbodG08,
author = {Roozbeh Farahbod and
Uwe Gl{\"{a}}sser},
editor = {Egon B{\"{o}}rger and
Michael J. Butler and
Jonathan P. Bowen and
Paul Boca},
title = {Dynamic Resource Configuration {\&} Management for Distributed Information
Fusion in Maritime Surveillance},
booktitle = {Abstract State Machines, {B} and Z, First International Conference,
{ABZ} 2008, London, UK, September 16-18, 2008. Proceedings},
series = {Lecture Notes in Computer Science},
volume = {5238},
pages = {343},
publisher = {Springer},
year = {2008},
url = {https://doi.org/10.1007/978-3-540-87603-8\_31},
doi = {10.1007/978-3-540-87603-8\_31},
timestamp = {Tue, 14 May 2019 10:00:50 +0200},
biburl = {https://dblp.org/rec/conf/asm/FarahbodG08.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}