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Proceedings Paper

Are there thermodynamic variables for networked sensor systems?
Author(s): John E. Gray; Amy Sunshine Smith-Carroll
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Paper Abstract

Discussed is a number of mechanisms for complex systems that can lead to unexpected behavior. All are related to graph theoretic models of interactions. In addition, the theory of random interval graphs can be applied to the characterization of simultaneously occurring variable finite length events. The theory is sufficiently general to provide simple parametric description of the natural relationships between a system's task processing rate and associated decision and communication rates required to control it. One can estimate conditions which induce temporal decoupling and provide general insight into control methodologies which can be used to avoid decoupling. The usage of intervals to characterize resource allocation problems has widespread applications to processing and decision making algorithms which consumed finite bounded time intervals. Finally, various aspects of track quality are discussed as a measure of the strength of interaction.

Paper Details

Date Published: 5 January 2004
PDF: 14 pages
Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); doi: 10.1117/12.507907
Show Author Affiliations
John E. Gray, Naval Surface Warfare Ctr. (United States)
Amy Sunshine Smith-Carroll, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 5204:
Signal and Data Processing of Small Targets 2003
Oliver E. Drummond, Editor(s)

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