Heuristic Greedy-Gradient Route Search Method for Finding an Optimal Traffic Distribution in Telecommunication Networks : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2024

Идентификатор DOI: 10.3390/a17010007

Аннотация: <jats:p>Rapid growth in the volume of transmitted information has lead to the emergence of new wireless networking technologies with variable heterogeneous topologies. With limited radio frequency resources, optimal routing problems arise, both at the network design stage and during its operation. We propose an algorithm based on aПоказать полностьюminimum loss intensity (greedy-gradient algorithm) to search for optimal routes of information transmission in telecommunication networks. The relevance of the developed algorithm is determined by its practical use in data-transmitting modeling systems. The proposed algorithm satisfies several requirements, such as the speed of the calculations performed, the fulfillment of the conditions for its convergence, and its independence on the selected loss probability function, as well as on the network topology. The idea of the algorithm is a step-by-step recalculation of metrics based on derivatives of the loss intensity function with simultaneous redistribution of information flows along the routes determined by the Floyd algorithm. The comparative efficiency of the proposed algorithm is demonstrated by computational experiments on various network topologies (up to 100 nodes) with various traffic intensities.</jats:p>

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Издание

Журнал: Algorithms

Выпуск журнала: Т.17, 1

Номера страниц: 7

ISSN журнала: 19994893

Персоны

  • Gaipov Konstantin (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Tausnev Daniil (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Khodenkov Sergey (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Shepeta Natalya (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Malyshev Dmitry (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Popov Aleksey (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)
  • Kazakovtsev Lev (Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Ave, 660037 Krasnoyarsk, Russia)

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