MODELS FOR SELECTING OPTIMAL DATA TRANSMISSION TRAFFIC IN INFOCOMMUNICATION NETWORKS

DOI: 10.31673/2412-4338.2026.019007

Abstract

This article examines models for selecting the optimal data transmission rate in information and communication networks, taking into account service quality requirements, channel bandwidth, transmission delays, and network load levels. The relevance of the study is driven by the increasing complexity of modern information and communication systems, the need to improve the efficiency of network resource utilization, and the need to ensure an adequate level of information security during transmission. The main approaches to network traffic management are analyzed, including methods based on graph theory, optimization models of routing, and network load forecasting.

A mathematical model is proposed in which the combinatorial problem of selecting the optimal route and distributing flows is reduced to a problem with continuous variables. This approach allows formalizing the process of finding a rational method for transmitting traffic and taking into account criteria for network performance. A step-by-step algorithm for determining optimal traffic has been developed based on the analysis of the network graph’s adjacency matrix and the sequential identification of a set of isolated vertices of maximum capacity. It is shown that the proposed approach allows finding not only the shortest but also the most efficient data transmission routes, aimed at reducing congestion and increasing network stability, as well as at the rational distribution of flows between nodes.

The results of the simulation confirm the feasibility of dividing the information block into sub-blocks and subsequently transmitting them via alternative routes. This helps reduce congestion, minimize delays, and improve transmission performance. The results obtained can be used in the design and operation of information and communication networks with increased requirements for performance, reliability, and information security.

Keywords: information and communication networks, data traffic, optimization, selection models, quality of service, routing.

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