Work

Analytical evaluation of the performance of a high-loaded 5G-IoT ecosystem functioning

Year: 2025

Type: conference-paper

Abstract: Author's version of a published conference paper V. Kovtun, O. Kovtun, M. Yukhimchuk, “Analytical evaluation of the performance of a high-loaded 5G-IoT ecosystem functioning.” In Proc. Modern Machine Learning Technologies Workshop (MoMLeT-2025), CEUR-WS, vol. 4004, pp. 167 - 184, June 14, 2025. This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16845979

Author: Kovtun, Viacheslav

Institution: Institute of Theoretical and Applied Informatics

Language: English

Topic: IoT Networks and Protocols

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: Narodowe Centrum Nauki