Abstract
Roadside units (RSUs) cache the sensed environment information in the buffer, and send them to the passing vehicles, which greatly improves the intelligence of the vehicle, and provides rich road information to the drivers. The age of information (AOI) can be used to describe the freshness of data accepted by the vehicles, which is defined as the elapsed time since the generation of the latest data received by the vehicles. The RSU transmits fused sensors’ data, such as cameras, Lider, to the vehicles, which just enter the coverage of the RSU, and the distance between the vehicles and the RSU is relatively far, then the AOI of vehicles can be minimized. However, it lead to great amount of energy consumption due to the large transmission distance between the vehicles and the RSU. The RSU could reduce the transmission power according to the current data queue length of its buffer and the speed of current passing vehicle, and tend to transmit data when vehicles approaching the RSU. Then, the average energy consumption of the RSU can be minimized when the AOI of the vehicles does not exceed the threshold. A freshness and power balancing scheduling strategy (FPBS) in cooperative vehicle-infrastructure system was proposed in this paper. The simulation results show that the proposed strategy can effectively reduce the average energy consumption under the constraint of the average AOI of vehicles.
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Acknowledgment
This paper is supported by the National Key Research and Development Program of China (2018YFB1600600).
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Qiu, Q., Dai, L., Wang, G. (2022). Freshness and Power Balancing Scheduling for Cooperative Vehicle-Infrastructure System. In: Lai, Y., Wang, T., Jiang, M., Xu, G., Liang, W., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2021. Lecture Notes in Computer Science(), vol 13156. Springer, Cham. https://doi.org/10.1007/978-3-030-95388-1_46
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