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Multi-Access Edge Computing-Based Vehicle-Vehicle-RSU Data Offloading Over the Multi-RSU-Overlapped Environment
IEEE Open Journal of Intelligent Transportation Systems ( IF 4.6 ) Pub Date : 2022-01-11 , DOI: 10.1109/ojits.2022.3142065
Shih-Yang Lin , Chung-Ming Huang , Tzu-Yu Wu

This paper proposes a predicted k-hop-limited multi-RSU-considered (PKMR) vehicle to vehicle to roadside unit (RSU) (VVR) data offloading method based on the architecture of the Software Defined Network (SDN) controller inside the multi-access edge computing (MEC) server. In the proposed method, a source vehicle that wants to offload data traffic can use a VVR path that connects the source vehicle and the ahead/rear RSU to perform RSU data offloading when the source vehicle approaches the ahead RSU or leaves the rear RSU. Since some RSUs’ signal ranges may overlap, multi-RSU deployment and RSU handoff between signal-overlapping RSUs must be managed to utilize VVR-based RSU data offloading as much as possible. Based on a vehicle’s periodically reported contexts received by the MEC server, the SDN controller inside the MEC server can execute the proposed PKMR method, which adopts (i) the time-extended prediction mechanism to find the potential VVR paths that exist in a coming time period [tc, tc+T] and (ii) a quality function that takes vehicles’ and RSUs’ network conditions into consideration to select the most suitable VVR data offloading path. The performance evaluation results indicate that the proposed PKMR method produces better data offloading performance than the traditional self-offloading method.

中文翻译:


基于多路访问边缘计算的车辆-车辆-RSU 多 RSU 重叠环境下的数据卸载



本文提出了一种基于多 RSU 内部软件定义网络 (SDN) 控制器架构的预测 k 跳限制多 RSU 考虑 (PKMR) 车辆到车辆到路边单元 (RSU) (VVR) 数据卸载方法。访问边缘计算(MEC)服务器。在所提出的方法中,当源车辆接近前方RSU或离开后方RSU时,想要卸载数据流量的源车辆可以使用连接源车辆和前/后RSU的VVR路径来执行RSU数据卸载。由于某些 RSU 的信号范围可能重叠,因此必须对多 RSU 部署和信号重叠 RSU 之间的 RSU 切换进行管理,以尽可能利用基于 VVR 的 RSU 数据卸载。基于 MEC 服务器接收到的车辆定期报告的上下文,MEC 服务器内的 SDN 控制器可以执行所提出的 PKMR 方法,该方法采用 (i) 时间扩展预测机制来查找未来时间存在的潜在 VVR 路径周期 [tc, tc+T] 和 (ii) 质量函数,考虑车辆和 RSU 的网络条件来选择最合适的 VVR 数据卸载路径。性能评估结果表明,所提出的 PKMR 方法比传统的自卸载方法产生更好的数据卸载性能。
更新日期:2022-01-11
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