ANALYSIS OF METHODS FOR DETERMINING INFORMATION DELAY IN INFOCOMMUNICATION NETWORKS

DOI: 10.31673/2786-8362.2025.022538

Abstract

In packet-switched networks, one of
the most important parameters is the average delay required for delivering the information requested by a
subscriber to its destination. The main methodological basis for analyzing delay is queuing theory. However,
its application often requires proposals to simplify the complex mathematical apparatus. Therefore, in some
cases, accurate quantitative calculations of delay are impossible to perform. The models of the mentioned
theory often become the basis for sufficiently accurate approximations of delay, as well as allowing positive
and qualitative results to be obtained. In this article, based on the analysis of options for defining delay in
information networks, methods for minimizing delay in packet-switched networks with diverse structures
have been developed. The results of mathematical modeling confirmed that to study the impact on the network
of such parameters as the number and length of packets, the number of calls received by the network within a
given time, the duration of occupation, and the receiving of respective data.
Keywords: infocommunication network, information delay, probabilistic methods, service mass theory,
packet switching

References
1. Л.Н. Беркман, Л.О. Комарова, О.І. Чумак. Системи електрозв’язку та сигнали
Навчальний посібник. – Київ: ДУТ, 2015.
2. Л.Н. Беркман, О.Г. Варфоломеєва, А. Г. Захаржевський, М. Г. Твердохліб, В. П. Ярцев.
Управління якістю обслуговування в мережах NGN. Телекомунікаційні та інформаційні
технології. Київ: ДУТ. № 2. 2015.
3. Л.Н. Беркман, В. В. Жебка. Розрахунок часу затримки проходження інформації з
врахуванням структури мережі з комутацією пакетів. Телекомунікаційні та інформаційні
технології. Київ: ДУТ. № 2. 2014.
4. В.Г. Кривуца, Л.Н. Беркман, В. В. Лапінський. Основи Інфокомунікацій. – Київ: ДУІКТ
2011.
5. Antonyuk Y. M., Shyyak B. A., Antonyuk M. I. Performance evaluation of computer campus
network segments. Telecommunication and information technologies. 2019. No. 4. P. 111–119. URL:
https://doi.org/10.31673/2412-4338.2019.041119.
6. Wang, J., Li, X., & Chen, Y. Advances in 6G Wireless Communication Systems: Theory and
Application. IEEE Communications Magazine, 2023.
7. Zhang, H., & Shi, Q. Deep Learning for Signal Processing: A Comprehensive Overview.
IEEE Signal Processing Magazine, 2023.
8. Liu, Y., & He, B. Quantum Communications: Challenges and Future Directions. Journal of
Quantum Information Science, 2023.