Analysis of Approaches to Optimization of V2X Systems: Clustering, Edge and Fog Computing
https://doi.org/10.31854/1813-324X-2024-10-3-7-22
EDN: TRWNON
Abstract
The review sets the task of analyzing existing solutions for communication systems based on Vehicle-to-Everything (V2X) technology using clustering and edge computing mechanisms in order to determine the conceptual model of the V2X system and the most significant indicators of quality of service (QoS), taking into account the application of the specified complex of technological solutions. The novelty of the work lies in the fact that the research is aimed at identifying the possibilities of integrating clustering mechanisms, edge and fog computing to determine optimal solutions for the deployment of roadside network infrastructure objects while maintaining high QoS indicators for communication equipment of this type. The result is that a scientifically based technological approach to constructing a conceptual model of a V2X system with specified QoS indicators has been proposed. Practical and theoretical relevance. The results obtained can be used in the design and deployment of V2X systems.
About the Authors
P. V. Plotnikov
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation
Russian Federation
A. G. Vladyko
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation
Russian Federation
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Review
For citations:
Plotnikov P.V., Vladyko A.G. Analysis of Approaches to Optimization of V2X Systems: Clustering, Edge and Fog Computing. Proceedings of Telecommunication Universities. 2024;10(3):7-22. (In Russ.) https://doi.org/10.31854/1813-324X-2024-10-3-7-22. EDN: TRWNON
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