Using the theories of fuzzy sets for researching the processes of diagnostics of data communication networks

• Autorzy: Omonov Ibratbek

Identyfikatory

DOI

10.29354/diag/161316

• Języki publikacji: EN

Abstrakty

EN

The article deals with the application of the queuing theory apparatus for analysing the diagnostic processes of data transmission networks (DTN). It is shown that with an increase in the complexity of DTN and existing tools and algorithms for their diagnostics, it seems expedient to create automated diagnostics systems that take into account the disadvantages and advantages of existing network diagnostics methods. The existing analytical methods (in the capacity of which probabilistic methods of the queuing theory are used) and statistical (methods of simulation modelling) are presented. In terms of the queuing system, the analysis of the closed, open (QS) is carried out and their characteristics are determined. The analysis of the statistical method for modelling the diagnostic system in the GPSS World environment is carried out. Models of the DTN diagnostics system are considered from the point of view of closed and open queuing systems. For analytical models of DTN diagnostic systems, the possibility of using the QS is considered, as a result of which the general structure of the main elements and procedures for the functioning of the diagnostic system are determined. The analysis of the possibilities of using the queuing theory made it possible to determine the analytical regularities for the model of diagnostic systems. The creation of automated diagnostic systems based on a queuing system provides a deep and accurate analysis of the characteristics of diagnostics and, therefore, is a promising direction in the development of systems for the technical operation and maintenance of DTN.

Słowa kluczowe

EN

data transmission systems; multiple in-multiple out fuzzy sets; diagnostics; Matlab Simulink

PL

system transmisji danych; diagnostyka; Matlab Simulink

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2023
• Tom: Vol. 24, No. 2
• Strony: art. no. 2023202
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Omonov Ibratbek

• Department of Telecommunication Engineering Urgench Branch Tashkent University of Information Technologies named after Mahammad al Khorezmi. Uzbekistan

• https://orcid.org/0000-0002-8426-7735

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).