2026, issue 1, p. 36-42
Received 20.11.2025; Revised 09.01.2026; Accepted 03.03.2026
Published 27.03.2026; First Online 31.03.2026
https://doi.org/10.34229/2707-451X.26.1.4
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Open Access under CC BY-NC 4.0 License
A Mathematical Model for Adaptive Data Flow Control in Communication Channels for Unmanned Aerial Vehicles
Oleksandr Lastivka *
, Olena Nechyporuk
State University "Kyiv Aviation Institute", Ukraine
* Correspondence: This email address is being protected from spambots. You need JavaScript enabled to view it.
The article presents the concept of building a mathematical model of adaptive control of data flows in communication channels of unmanned aerial vehicles. The proposed approach is based on the principles of self-organisation, information prioritisation, and real-time resource allocation. The paper identifies the main parameters of communication channel adaptability: transmission speed, delay, packet loss, signal stability, and load level. The structure of information flows between the onboard, ground, and network components of the control system is considered, which allows formalising the relationships between subsystems.
The purpose of the article is to develop a mathematical model of adaptive data flow management in UAV communication channels to ensure stable, synchronised and integrated information transmission.
Results. Based on the analysis of modern traffic management methods, a mathematical model has been developed that describes the dynamic interaction between data flows and communication channels. The model takes into account resource limitations, the priority of information types, and channel state variability. The adaptation processes have been formalised by introducing variable traffic distribution coefficients that are updated depending on the current communication quality parameters.
The constructed structural diagram of information technology reflects the stages of monitoring, parameter analysis, decision-making, and correction of distribution coefficients. The modelling results showed that the use of an adaptive approach reduces the average transmission delay and increases the stability of communication during overload.
Conclusions. The results obtained indicate that formalisation of the mechanism of self-organised redistribution of flows in multi-channel UAV communication systems ensures increased channel stability and efficient use of network resources. The proposed model can be integrated into real-time systems to optimise bandwidth distribution, improve service quality and preserve the integrity of transmitted information even under variable load conditions or interference.
Keywords: unmanned aerial vehicle, adaptive control, mathematical model, data flows, bandwidth, self-organisation, telecommunications system, communication stability, optimisation.
Cite as: Lastivka O., Nechyporuk O. A Mathematical Model for Adaptive Data Flow Control in Communication Channels for Unmanned Aerial Vehicles. Cybernetics and Computer Technologies. 2026. 1. P. 36–42. (in Ukrainian) https://doi.org/10.34229/2707-451X.26.1.4
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ISSN 2707-451X (Online)
ISSN 2707-4501 (Print)
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