Work place: Department of the Science Center, Hetman Petro Sahaidachnyi National Army Academy, Lviv, 79012, Ukraine
E-mail: Lavrut_t_v@i.ua
Website: https://orcid.org/0000-0002-1552-9930
Research Interests:
Biography
Tetiana Lavrut is a Senior Research of the Research Department of the Science Center of Hetman Petro Sahaidachnyi National Army Academy. In 2003, she defended her dissertation for the degree of Candidate of Geographical Sciences, and has the title of Associate Professor. Also she has the title of senior researcher in Information Systems and Technologies. Tetiana has authored over 150 publications, and her main research interests focus on geographic information systems (GIS); machine learning and cybersecurity, as well as the development of telecommunications systems and communications.
By Oleksandr Lavrut Tetiana Lavrut Victoria Vysotska Zhengbing Hu Yuriy Ushenko Dmytro Uhryn
DOI: https://doi.org/10.5815/ijigsp.2025.04.08, Pub. Date: 8 Aug. 2025
The article investigates the task of optimising traffic management in critical information and telecommunication networks in order to ensure a guaranteed quality of user service, particularly in emergencies. A method of tensor analysis of networks is proposed, using a formalised description of the system in the form of tensors of message lengths, delays and bandwidth of channels. The network is modelled as a simplified complex, and routing is implemented through a tensor equation of connection between network parameters in different coordinate systems. Experimental calculations using examples with dynamically variable topology have shown:
•Reduction of average multipath message delivery latency by 9–40% depending on traffic intensity,
•Probability of packet delivery at or above 0.999 under high loads (200-300 messages/s),
•Zero jitter due to the even distribution of delays between paths,
•The ability to adaptively fragment messages in nodes to reduce latency,
•Increasing the efficiency of resource use compared to single-track models.
The use of a tensor apparatus provides stable and scalable routing in an unstable network topology. The method allows you to take into account the heterogeneity of traffic, adapt to the loss of nodes or channels, and maintain guarantees of quality of service in real time. The proposed approach is of practical importance for information and telecommunication systems used in emergencies, in particular for coordinating the actions of emergency rescue services, emergency medicine, civil protection, military units, control of drones and robotic means in the face of infrastructure loss. Potential stakeholders include state and municipal security services, operators of critical networks (energy, transport, healthcare), developers of automated control systems, and manufacturers of secure communication equipment. The proposed method can be integrated into decentralised networks with limited resources and variable topology, where traditional routing approaches do not guarantee sufficient quality of service.
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