计算机工程2025，Vol.51Issue(9)：49-58,10.DOI:10.19678/j.issn.1000-3428.0069784
面向卫星车载MEC网络的协同计算卸载方法
Collaborative Computation Offloading Method for Satellite Vehicle-Mounted Mobile Edge Computing Networks
摘要
Abstract
The dynamic nature of tasks in Internet of Vehicles(IoV)environments increases the complexity of real-time computational offloading.To address the difficulty of completing real-time tasks in a timely manner owing to limited terrestrial network coverage in IoV scenarios,this study proposes a collaborative computational offloading approach for Satellite Vehicular Mobile Edge Computing Networks(SVMECN).First,a geometric relationship model between satellites and the ground is constructed to calculate the transmission rates between devices and satellites,as well as between terrestrial gateways and satellites.The task processing delay is computed based on this model.The model fully considers the real-time nature of tasks and dynamically adjusts for the impact of satellite movement on terrestrial data transmission.Through collaborative processing between satellites and terrestrial gateways,the latency requirements of in-vehicle applications are met.Second,the study proposes a collaborative computational offloading algorithm based on Pointer Attention Mechanism and Actor-Critic(ST-PART).This algorithm dynamically adjusts task priorities according to their real-time nature,offloads tasks for computation in order of priority,and dynamically selects and collaboratively processes tasks among different computing nodes to minimize task processing delays.The proposed algorithm is simulated in an SVMECN environment.Compared with traditional heuristic algorithms,the proposed algorithm improves operational efficiency.Experimental and analytical results indicate that the proposed algorithm can significantly reduce task processing delays while meeting the real-time requirements of tasks.Compared with algorithms without collaboration between terrestrial and satellite components,the proposed algorithm can reduce latency costs by 2.35％-68.68％.关键词
星地协同网络/移动边缘计算/指针注意力/强化学习/计算卸载Key words
collaborative satellite-terrestrial network/Mobile Edge Computing(MEC)/pointer attention/Reinforcement Learning(RL)/computation offloading分类
信息技术与安全科学引用本文复制引用
赵季红,臧若雨,刘振..面向卫星车载MEC网络的协同计算卸载方法[J].计算机工程,2025,51(9):49-58,10.基金项目
国家重点研发计划重点专项项目(2018YFB1800305). （2018YFB1800305）
