Title

Semantic-based bandwidth reduction in wide area training networks

Abstract

Data filtering is a semantic-based technique that can significantly reduce the size of traffic in large-scale distributed interactive simulation (DIS) networks. If not carefully designed, filtering algorithms could lead to errors that may compromise the realism of the training exercise. In this paper, we review the problem of filtering errors and present an approach suitable for preventing filtering errors.

Publication Date

1-1-1997

Publication Title

IEEE Symposium on Computers and Communications - Proceedings

Number of Pages

292-296

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0030713257 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0030713257

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