首页|基于边缘计算的车联网任务卸载策略优化研究

基于边缘计算的车联网任务卸载策略优化研究

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边缘计算通过部署在移动网络边缘,提供计算任务卸载以及边缘计算服务,用于支持对于时延敏感的网络通信场景.但随着场景中车辆终端的不均匀分布,容易造成部分节点负载过重,导致产生过长时延和过多能量消耗.本文针对边缘计算在车联网的应用场景,提出了一种多移动终端、多址边缘节点的计算任务卸载策略优化算法.经实验验证,本文的算法相较于仅依赖信道速率的卸载策略等简单边缘负载卸载策略,系统的任务总耗时显著降低.
Optimisation of IoV Task Offloading Policies Based on Mobile Edge Computing
Edge computing is used to support latency-sensitive network communication scenarios by deploying at the edge of the mobile network to provide computation task offloading as well as edge computing services.However,with the uneven distribution of vehicle terminals in the scenario,it is easy to overload some nodes,resulting in excessive latency and excessive energy consumption.In this paper,we propose an optimisation algorithm for computation task offloading policy with mul-tiple mobile terminals and multiple-access edge nodes for edge computing application scenarios in vehicular networking.It is experimentally verified that the algorithm proposed in this paper signifi-cantly reduces the total task elapsed time of the system compared to simple edge load offloading strategies such as offloading strategies relying only on channel rate.

Internet of vehiclesEdge computingConvex optimisation

段耀伟、孙桂玲、郑博文、董亮

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南开大学电子信息与光学工程学院,天津 300350

车联网 边缘计算 凸优化

天津市重点基金项目天津市光电传感器与传感器网络技术重点实验室

21JCZDJC00340

2024

无线通信技术
信息产业部电信科学技术第四研究所

无线通信技术

影响因子:0.295
ISSN:1003-8329
年,卷(期):2024.33(3)
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