Saturday 08 March 2025
A team of researchers has developed a novel approach to ensuring fair access to data transmission in vehicle-to-infrastructure (V2I) networks, where vehicles communicate with roadside units (RSUs) to exchange information. The scheme is designed to address the issue of varying speeds among vehicles, which can lead to unfair access to data transmission.
In V2I networks, vehicles typically adopt a sensing-based semi-persistent scheduling (SPS) mechanism to identify resources and exclude ineligible ones based on information from a sensing window. However, as vehicles travel at different speeds, they experience varying amounts of data transmission time with RSUs, leading to unfair access.
To address this challenge, the researchers proposed a multi-objective optimization scheme that adjusts the selection window size in SPS based on vehicle speed. The goal is to ensure fair access to data transmission while minimizing the total objective function values. The simulation results demonstrate the effectiveness of the proposed method in achieving fairness and reducing the difference between vehicles’ data transmission times.
The researchers used a non-dominated sorting genetic algorithm II (NSGA-II) to optimize the selection window size, taking into account factors such as vehicle speed, data transmission time, and fairness index. The algorithm was evaluated using a simulation scenario set up to mimic real-world V2I network conditions.
The results show that the proposed method outperforms traditional SPS schemes in terms of fairness and efficiency. Vehicles with higher speeds can transmit more data while those with lower speeds have less staying time in RSU coverage, resulting in a reduction of unfairness.
This research has important implications for the development of V2I networks, particularly in scenarios where vehicles travel at varying speeds. By ensuring fair access to data transmission, the proposed method can improve the overall performance and reliability of these networks.
The study’s findings highlight the need for more efficient and adaptive resource allocation schemes in V2I networks. The researchers’ approach can be applied to other wireless communication systems that require fairness and efficiency in resource allocation.
The development of this scheme is a significant step towards improving the functionality and reliability of V2I networks, which have the potential to revolutionize transportation systems and enhance road safety.
Cite this article: “Ensuring Fair Access in Vehicle-to-Infrastructure Networks through Adaptive Resource Allocation”, The Science Archive, 2025.
Vehicle-To-Infrastructure, Wireless Communication, Fair Access, Data Transmission, Roadside Units, Sensing-Based Semi-Persistent Scheduling, Multi-Objective Optimization, Nsga-Ii Algorithm, Fairness Index, Resource Allocation.
