A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network.
adjacency matrix
communication network
distribution function
multigraphs
network simulation
network traffic
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
14 Sep 2022
14 Sep 2022
Historique:
received:
02
06
2022
revised:
29
08
2022
accepted:
05
09
2022
entrez:
23
9
2022
pubmed:
24
9
2022
medline:
24
9
2022
Statut:
epublish
Résumé
We presented a method based on multigraphs to mathematically define a distribution function in time for the generation of data exchange in a special-purpose communication network. This is needed for the modeling and design of communication networks (CNs) consisting of integrated telecommunications and computer networks (ITCN). Simulation models require a precise definition of network traffic communication. An additional problem for describing the network traffic in simulation models is the mathematical model of data distribution, according to which the generation and exchange of certain types and quantities of data are realized. The application of multigraphs enabled the time and quantity of the data distribution to be displayed as operational procedures for a special-purpose communication unit. A multigraph was formed for each data-exchange time and allowed its associated adjacency matrix to be defined. Using the matrix estimation method allowed the mathematical definition of the distribution function values. The application of the described method for the use of multigraphs enabled a more accurate mathematical description of real traffic in communication networks.
Identifiants
pubmed: 36141180
pii: e24091294
doi: 10.3390/e24091294
pmc: PMC9497474
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Military Technical Institute
ID : NA
Références
Proc Natl Acad Sci U S A. 2004 Mar 16;101(11):3747-52
pubmed: 15007165