A.M. Mezhuev1, K.A. Kobelev2, D.L. Sturov3, I.A. Kulbashny4

1–4 MESC of Air Forces N.Е. Zhukоvsky and Yu.А. Gаgаrin Air Force Academy (Vоrоnеzh, Russia)
1 multitenzor@mail.ru; 2 konst.kobelev@mail.ru; 3 777dmitry.sturov777@gmail.com; 4 ilja3668@rambler.ru

As the analysis of the growth rates of the information load in the technologies of digital communication systems (DCS) development, providing an increase in the speed of information transfer over the communication channel, shows, it does not allow to fully meet all the requirements for the implementation and support of information exchange between switching nodes (SN). Therefore, in modern conditions there are situations of DCS overload in the lower sections (in communication channels (CC) or repeater nodes), as well as partial or complete packet losses during the route transmission of information. This circumstance causes a contradiction between the limited channel-network connections of the DCS and the possibilities of effective distribution of the level of constant incoming traffic. In turn, this determines the relevance and undoubted practical innovativeness of solutions that allow effective distribution of information flows (routing) to ensure efficiency and effective information exchange in the DCS in order to ensure guaranteed delivery of packets to the British recipient using formal algorithms according to a given criterion (for example, with a minimum time delay, with a consequence of losses, with maximum DCS performance). Existing approaches and routing algorithms implemented on the basis of information exchange protocols using local metric parameters in their work do not allow to fully ensure the resolution of the said contradiction. A promising direction for solving the problems of distributing information flows in the centralized communication network is the use of a generalized indicator for the formation of routing metrics, which, when selecting the route for transmitting information, constantly monitors the speed characteristics and the load of the control center on individual communication intervals.

Mezhuev A.M., Kobelev K.A., Sturov D.L., Kulbashny I.A. Algorithm and model of information streams in the digital communication system. Science Intensive Technologies. 2025. V. 26. № 2. P. 5−19. DOI: https://doi.org/ 10.18127/j19998465-202502-01 (in Russian)

1. Shvarc M. Seti svyazi: protokoly, modelirovanie i analiz: Per. s angl. M.: Nauka. 1992. Ch. 1. 336 s. (in Russian).
2. Goldsmit A. Besprovodnye kommunikacii. M.: Tekhnosfera. 2011. 904 s. (in Russian).
3. Klejnrok L. Kommunikacionnye seti (stohasticheskie potoki i zaderzhki soobshchenij). M.: Nauka, 1970. 256 s. (in Russian).
4. Bersekas D., Gallager R. Seti peredachi dannyh. Izd. 2-e. Prentis-Holl, Englvud-Kliffs. N'yu-Dzhersi. 1992. 556 r.
5. Klejnrok L., Gejl R. Sistemy massovogo obsluzhivaniya: problemy i resheniya. Wiley-Interscience, 1996. 240 s.
6. Pasechnikov I.I. Metodologiya analiza i sinteza predel'no nagruzhennyh informacionnyh setej: monografiya. M.: Mashinostroenie-1. 2004. 216 s. (in Russian).
7. Parfenov V.I., Zolotarev S.V. Tenzornyj podhod k resheniyu zadachi optimal'noj marshrutizacii v informacionnyh setyah. Teoriya i tekhnika radiosvyazi. 2007. № 2. S. 5–11 (in Russian).
8. Request for Comments (RFC): 1142 OSI IS-IS Intra-domain Routing Protocol. Network Working Group. Digital Equipment Corp. February 1990. 152 p.
9. Request for Comments (RFC): 2328 OSPF Version 2. Network Working Group. Ascend Communications, Inc. April 1998. 244 p.
10. Request for Comments (RFC): 1058 Routing Information Protocol. Network Working Group. Rutgers University. June 1988. 33 p.
11. Request for Comments (RFC): 2453 RIP Version 2. Network Working Group. Bay Networks. November 1998. 39 p.
12. Patent № 2320092 (RF), MPK7 H 04 J3/00. Sposob i ustrojstvo dlya mul'tipleksirovaniya elementov dannyh pri asinhronnom rezhime peredachi. I.I. Pasechnikov, E.V. Golovchenko, V.S. Lunev, A.V. Vospitanyuk. 2008 (in Russian).
13. Mezhuev A.M., Kobelev K.A., Sturov D.L., Nerovnyj V.V. Sposob raspredeleniya informacionnyh potokov v cifrovyh sistemah svyazi s ispol'zovaniem obobshchennogo pokazatelya. Radiotekhnika. 2024. T. 88. № 7. S. 92–103 DOI: https://doi.org/ 10.18127/j00338486-202407-18 (in Russian).
14. Boev V.D. Issledovanie adekvatnosti GPSS World i AnyLogic pri modelirovanii diskretno-sobytijnyh processov: monografiya. SPb.: VAS. 2011. 404 s. (in Russian).
15. Mezhuev A.M., Pasechnikov I.I., Korennoj A.V. Analiz funkcii effektivnosti informacionnoj seti i algoritm ocenki rezhimov informacionnogo obmena na osnove proizvodnyh obobshchennogo pokazatelya. Elektromagnitnye volny i elektronnye sistemy. 2017. T. 22. № 5. S. 12–22 (in Russian).
16. Nazarov A.N., Sychev K.I. Modeli i metody rascheta pokazatelej kachestva funkcionirovaniya uzlovogo oborudovaniya i strukturno-setevyh parametrov setej svyazi sleduyushchego pokoleniya. Krasnoyarsk: Polikom. 2010. 389 s. (in Russian).