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Proceedings Paper

Migration protocols for computer-controlled simulation entities in interactive training environments
Author(s): William F. Foss; Mostafa A. Bassiouni; Ron Hofer; Minghsing Chiu
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Paper Abstract

The run-time infrastructure of HLA supports class-based subscription and routing spaces as a mechanism for reducing bandwidth requirements and eliminating the transmission of irrelevant state update messages. HLA routing spaces enable the RTI to deliver to each federate only the relevant data that it needs to receive. The effectiveness of this approach can be improved by means of clustering, i.e., by the careful assignment of the simulated entities in the virtual world to the different federates. Performance results are presented showing that the filtering gain of a good initial clustering is generally significant. However, the degree of bandwidth reduction due to clustering usually deteriorates over time as vehicles drift away from their initial positions. To reduce this deterioration, we propose a migration protocol for computer-controlled entities. This is done by extending the HLA Federate Interface Definition in order to add the capability of CGF vehicle migration through object ownership transfer. The paper presents the basic features of a CGF migration protocol which dynamically assigns CGF entities to the federates that would minimize network traffic. The different detection mechanisms that can be used to trigger the migration of CGF entities are presented. The insight gained from our work and the challenges still facing the design of large scale HLA training exercises are discussed.

Paper Details

Date Published: 22 June 1999
PDF: 10 pages
Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); doi: 10.1117/12.351181
Show Author Affiliations
William F. Foss, Univ. of Central Florida (United States)
Mostafa A. Bassiouni, Univ. of Central Florida (United States)
Ron Hofer, Institute for Simulation and Training (United States)
Minghsing Chiu, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 3696:
Enabling Technology for Simulation Science III
Alex F. Sisti, Editor(s)

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