车联网环境下V2I/V2V混合多跳边缘计算卸载算法研究

2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE) Pub Date : 2020-09-01 DOI:10.1109/ICITE50838.2020.9231334

Yueqing Wang, Xi Hu, Lijun Guo, Zhaoyang Yao

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引用次数: 4

摘要

由于车联网中车辆节点的快速移动和RSU的覆盖范围限制，当任务车辆移动到当前RSU的覆盖范围之外时，一跳MEC可能会中断。因此，需要多跳MEC来解决这一问题。本文提出了一种V2I/V2V混合多跳边缘计算卸载(VCMO)算法，重点研究了最优多跳边缘计算卸载方法。此外，还建立了多跳卸载开销模型来评估性能。仿真结果表明，与其他多跳边缘计算卸载算法相比，VCMO具有最低的卸载开销。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on V2I/V2V Hybrid Multi-hop Edge Computing Offloading Algorithm in IoV Environment

Due to the fast move of vehicle nodes and the limit cover range of the RSUs in IoV, one-hop MEC maybe is interrupted for the task vehicle moving out of the cover range of the current RSU. Therefore, multi-hop MEC is necessary to solve this problem. This paper proposes a V2I/V2V hybrid multi-hop edge computing offloading (VCMO) algorithm, which focuses on the optimal multi-hop edge computing offloading method. Furthermore, a multi-hop offloading overhead model is also established to evaluate the performance. The simulation results show that, comparing to other multihop edge computing offloading algorithms, VCMO has lowest offloading overhead.

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2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)

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