Research of distribution of information flows in a network

2021;
: pp. 821–829
https://doi.org/10.23939/mmc2021.04.821
Received: October 13, 2021
Revised: November 12, 2021
Accepted: November 19, 2021

Mathematical Modeling and Computing, Vol. 8, No. 4, pp. 821–829 (2021)

1
Yuriy Fedkovych Chernivtsi National University
2
Lviv Polytechnic National University
3
Danylo Halytsky Lviv National Medical University
4
Yuriy Fedkovych Chernivtsi National University

The algorithm for determining information flows in the network is developed and studied, taking into account restrictions on the input and output flows values in each node of the system.  The algorithm is based on the Gaussian method of solving linear equations systems in case when the rank of the equivalent system matrix, is less than the number of unknown variables in the system.  Using this algorithm, the capacities of sets of the integer solutions for networks with 2 nodes (flow intensity up to 200), 3 nodes (flow intensity up to 20) and 4 nodes (flow intensity up to 10) are calculated.

  1. Politanskyi R., Klymash M.  Application of Artificial Intelligence in Cognitive Radio for Planning Distribution of Frequency Channels.  2019 3rd International Conference on Advanced Information and Communications Technologies (AICT). 390–394 (2019).
  2. Bobalo Y. Y., Horbatyi I. V., Kiselychnyk M. D., Medynsky I. P., Melen M. V.  Semi-Markov reliability model of functioning of wireless telecommunication system with complex control system.  Mathematical Modeling and Computing. 6 (2), 192–210 (2019).
  3. Veryga A., Politanskyi R., Lesinskyi V., Ruda T.  Analysis of Using of Fractal Signals for Noise Immune Information Transmission Systems.  15th International Conference on Advanced Trends in Radioelectronics,  Telecommunications and Computer Engineering (TCSET). 162–165 (2020).
  4. Kushnir M., Vovchuk D., Haliuk S., Ivaniuk P., Politanskyi R.  Approaches to building a chaotic communication system.  Lecture Notes on Data Engineering and Communications Technologies.  48, 207–227 2021.
  5. Galiuk S. D., Kushnir M. Y., Politanskyi R. L.  Communication with use of symbolic dynamics of chaotic systems.  2011 21st International Crimean Conference: Microwave and Telecommunication Technology Proceedings. 423–424 (2011).
  6. Politanskyi R., Veryga A., Vistak M.  Analysis of facing developers problems of modern telecommunication technologies.  CEUR Workshop Proceedings. 109–117 (2020).
  7. Strykhalyuk B., Kaidan M., Klymash M., Kryvinska N.  Tensor models for the efficient multipath routing in large-scale communication networks.  Proceedings of the 12th International Conference on Information Integration and Web-based Applications and Services.  818–821 (2010).