Evaluating the Performance of Using Mobile Roadside Units for Task Offloading in V2X Systems

This paper presents an analysis of task offloading performance in Vehicle-to-Everything (V2X) systems by comparing traditional stationary Roadside Units (RSUs) with mobile RSUs (mRSUs). The study explores how mobile RSUs can enhance data offloading efficiency, reduce latency, and minimize unprocessed requests during peak network loads. By simulating different operational scenarios, the paper highlights the benefits of mRSUs in improving system responsiveness and resilience. Numerical simulations validate the effectiveness of the task offloading mechanism, demonstrating how dynamic allocation of mobile resources can significantly improve overall system performance in V2X environments.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/tirved63561.2024.10769815
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.05

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article

Evaluating the Performance of Using Mobile Roadside Units for Task Offloading in V2X Systems

Andrei Vladyko, П. В. Плотников, Gleb Tambovtsev
3 citations
IoT and Edge/Fog Computing
1.05
article

Evaluating the Performance of Using Mobile Roadside Units for Task Offloading in V2X Systems

Andrei Vladyko, П. В. Плотников, Gleb Tambovtsev
article en
3 citations

Abstract

This paper presents an analysis of task offloading performance in Vehicle-to-Everything (V2X) systems by comparing traditional stationary Roadside Units (RSUs) with mobile RSUs (mRSUs). The study explores how mobile RSUs can enhance data offloading efficiency, reduce latency, and minimize unprocessed requests during peak network loads. By simulating different operational scenarios, the paper highlights the benefits of mRSUs in improving system responsiveness and resilience. Numerical simulations validate the effectiveness of the task offloading mechanism, demonstrating how dynamic allocation of mobile resources can significantly improve overall system performance in V2X environments.

Saint-Petersburg State University of Telecommunications (RU)
Russian Science Foundation
Affordable and clean energy
Openalex Percentile: Top 20%
IoT and Edge/Fog Computing
1.05
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