Description: The performance of the communication channel is determined by the timeliness (exchange) of the information exchange. This property is characterized by an indicator of the probability of prompt delivery of information (messages). The time of updat-ing the required information determines the allowable delay time in the delivery of information (message packets) to the user. To ensure the efficient functioning of the TCP information networks, data flow management is ensured by the sliding window method. According to this method, the intensity of sending information segments to the network is regulated by the size of the transmission window. Increasing the size of the window allows you to increase the number of messages sent or vice versa. The performance of a communication channel when operating according to the algorithm under consideration depends on its noise immunity. Existing methods and algorithms for the operation of communication channels when using the sliding window method in the TCP variable-size protocol depend on noise immunity and are not effective. Such algorithms are not capable of adapting the interference link channels. The purpose of the article is to develop a method of estimating the transmission of information (messages) by MPLS technology using TCP protocol when using the sliding window method, taking into account the probability of correct reception of information (messages). This method allows you to evaluate the performance of the telecommunication network information direction depending on the interference effects on the communication channel. Dynamic change in the op-eration of the TCP communication channel sliding window size allows you to transmit the required information (message pack-ets) with high speed (at maximum speed).
Keywords: telecommunication network, productivity increase, information direction, receipt, TCP protocol, improvements, sliding window method.
1. Comer, D. (2000), Internet working with TCP/IP, Vol. 1, 4th ed., Englewood Cliffs, Prentice Hall, NJ, 212 р.
2. Microsoft Corporation (1999), “Microsoft TCP/IP: uchbovyj kurs” [Microsoft TCP/IP: Training course], Moscow, 680 p.
3. Tanenbaum, E. (2002), “Komp'juterni merezhi” [Computer networks], Sankt Petersburg, 848 p.
4. Sklyar, B. (2003), “Cyfrovyj zv'jazok. Teoretychni osnovy ta praktychne zastosuvannja” [Digital communication. Theo-retical foundations and practical application], Williams Publishing House, Moscow, 215 p.
5. Polschikov, K.O., Lavrut, O.O., Alexandrov, M.M. and Vlasyuk, V.M. (2006), “Metod upravlinnja tajmerom povtornoji peredachi v informacijnykh merezhakh, shho pracjujutj zghidno protokolom TSP” [Method of control of timer retransmission in information networks operating in accordance with TCP protocol], Journal of Radio Electronic and Computer Systems, No. 6(25), рр. 38-45.
6. Mogilevich, D.I. (2013), “Pokaznyky yakosti ta nadiynosti funktsionuvannya merezh zv'jazku spetsialʹnoho pryznachen-nya” [Indicators of quality and reliability of functioning of special purpose communication networks], Reports and Abstracts of the 7th Scientific and Practical Seminar “Priority Directions for the Development of Telecommunication Systems and Special Purpose Networks”, Military Institute of Telecommunications and Informatization of the State University of Telecommunica-tions, Kyiv, рр. 27-28.
7. Romashchenko, R.A. (2012), “Metodyka upravlinnya potokamy pry vykorystanni u protokoli TCP metodu kovza-yuchoho vikna zminnoho rozmiru” [The technique of flow control when using the variable-size sliding window method in TCP] Modern Information Technologies in the Field of Security and Defense, No. 3 (15), рр. 40-45.
8. Puchkov, O.O., Kolachev, S.P. and Romashchenko, R.A. (2011), “Rozrakhunok imovirnosti peredachi kadru merezheyu ATM pry vykorystanni metodu kovznoho vikna” [Calculation of frame transmission probability by ATM network using sliding window method], Scientific Works of Kharkiv Air Force University, No. 1(27), рp. 188-190.
9. Herasimov, S., Timochko, O. and Khmelevskiy, S. (2017), Synthesis method of the optimum structure of the procedure for the control of the technical status of complex systems and complexes, Scientific Works of Kharkiv National Air Force Univer-sity, No. 4 (53), рp. 148-152.
10. Clarke, F. (2013), Functional analysis, Calculus of Variations and Optimal Control, Springer, New York, 606 p.
11. Herasimov, S., Pavlii, V., Tymoshchuk, O., Yakovlev, M., Khaustov, D., Ryzhov, Ye., Sakovych, L. and Nastishin, Yu. (2019), Testing Signals for Electronics: Criteria for Synthesis, Journal of Electronic Testing, Vol. 35, No. 148, рр. 1-9. https://doi.org/10.1007/s10836-019-05798-9.
12. Honorovsky, I.S. and Demin, M.P. (1994), “Radyotekhnycheskye cepy y syghnaly” [Radiotechnical circuits and sig-nals], Radio and communications, Moscow, 481 р.
13. Baskakov, S.I. (2000), “Radyotekhnycheskye cepy y syghnaly” [Radiotechnical circuits and signals], Higher school, Moscow, 462 р.
14. Chinkov, V.N. and Gerasimov, S.V. (2003), “Kompleksnaya metodika optimizatsii kontroliruyemykh parametrov slozhnykh tekhnicheskikh ob'yektov” [A comprehensive methodology for optimizing the controlled parameters of complex tech-nical objects], Ukrainian Metrological Journal, No. 1, рр. 11-15.
15. Zyryanov, Yu., Belousov, O. and Fedyunin, P. (2011), “Osnovy radiotekhnicheskikh sistem” [Fundamentals of Radio Engineering Systems], TSTU Publishing House, Tambov, 144 p.
16. Marchenko, A. and Marchenko, Ye. (2010), “Osnovy preobrazovaniya informatsionnykh signalov” [Basics of convert-ing information signals], Telecom, Moscow, 286 р.
17. Rybin, Yu. (2014), Measuring Signal Generators. Theory and Design, Springer; Dordrecht, Heidelberg, London, New York, 488 p.