Title
Relevance filtering for distributed interactive simulation
Keywords
Algorithms; Distributed interactive simulation systems; Relevance filtering
Abstract
In this paper, we present the results of our work to design and evaluate relevance filtering schemes for distributed interactive simulation (DIS) systems. Relevance filtering is a technique that can effectively reduce the traffic on long-haul links of simulation networks and improve the scalability of DIS systems. Detailed algorithms suitable for the implementation of distributed data filtering in the gateways of DIS networks are presented. Both filtering-at-transmission and filtering-at-reception are explained. Methods to solve the problem of inaccurate state information caused by the distributed nature of data filtering are presented and evaluated.
Publication Date
1-1-1998
Publication Title
Computer Systems Science and Engineering
Volume
13
Issue
1
Number of Pages
39-47
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0031651698 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031651698
STARS Citation
Bassiouni, Mostafa; Chiu, Ming Hsing; and Loper, Margaret, "Relevance filtering for distributed interactive simulation" (1998). Scopus Export 1990s. 3438.
https://stars.library.ucf.edu/scopus1990/3438