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面向车联网多优先级任务的MEC计算卸载策略 被引量:3

MEC computing offloading strategy for multi-priority tasks in the Internet of Vehicles
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摘要 车载终端受硬件限制已无法支撑延迟敏感和计算密集型车联网业务的本地化处理,移动边缘计算(MEC)通过在用户侧提供计算卸载服务,可实现车载任务的实时化处理并降低车载终端能耗。为了提高车载环境有限资源的利用率,综合考虑车联网应用多样性与计算资源有限性,提出一种面向车联网多优先级任务的MEC计算卸载策略。首先将车辆移动性建模为车辆与路侧单元(RSU)的距离,由任务在本地执行的时延与能耗、卸载执行的时延与能耗、截止时间及在小区内持续时间进行任务的卸载判决;然后根据不同任务的优先级对可卸载任务进行分组,优先处理高优先级任务的资源分配问题;最后基于任务优先级、任务数据量与连接质量,利用改进竞价的拍卖算法进行任务调度。仿真结果显示,所提算法可以在进一步提高资源利用率的同时,提高安全相关任务的成功处理数量。 Due to the hardware limitations,the vehicle-mounted terminals can no longer support the localized processing of delay-sensitive and computation-intensive Internet of Vehicles(IoV)business. The mobile edge computing(MEC)can be used to realize the real-time processing of vehicle-mounted tasks and reduce the energy consumption of vehicle-mounted terminals by providing computing offloading services on the user side. In order to increase the utilization rate of limited resource in the vehiclemounted environment, an MEC computing offloading strategy for IoV multi-priority tasks is proposed on the basis of comprehensively considering the diversity of IoV applications and the limitation of computing resources. The vehicle mobility is modeled as the distance between the vehicle and the road-side unit(RSU). The task offloading decision is depending on the delay and energy consumption of task in the local execution,the delay and energy consumption in the offloading execution,the deadline and the duration in the cell. And then,the offloadable tasks are grouped according to the priority of different tasks and the resource allocation of high-priority tasks is firstly carried out. Finally,on the basis of task priority,data size of task and its connection quality,the task scheduling is implemented by the improved bidding auction algorithm. The simulation results show that the proposed algorithm can increase the number of successful processing of safety-related tasks while further improving the resource utilization rate.
作者 朱文霞 冯兴乐 刘静敏 崔英英 ZHU Wenxia;FENG Xingle;LIU Jingmin;CUI Yingying(School of Information Engineering,Chang’an University,Xi’an 710064,China)
出处 《现代电子技术》 2022年第1期125-131,共7页 Modern Electronics Technique
基金 陕西省交通运输地方标准项目(20-66B)。
关键词 计算卸载 移动边缘计算 多优先级任务 车联网 任务调度 资源利用率 computation offloading MEC multi-priority task IoV task scheduling resource utilization rate
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