摘要
为满足密集分布用户的服务质量和体验质量,建立了车辆和无人机协助下的多接入边缘计算卸载模型,车辆、无人机和路边单元作为边缘节点,将不同的计算任务按需卸载到不同类型的边缘节点进行处理。设计了基于分布式匹配-贪婪算法的终端用户任务卸载方案以最小化系统功耗,并研究了用户数量和延迟容忍对卸载方案的影响。仿真结果表明:该方案在满足延迟约束的条件下降低了系统功耗,保证了用户的服务质量;特别是在人群密集分布的情况下,能有效提高中心用户的体验质量。
In order to meet the service quality and experience quality requirements of densely distributed users,a multi-access edge computation offloading model with the assistance of vehicles and drones was established.All vehicles,unmanned aerial vehicles and roadside units acted as edge nodes,different tasks were transmitted to different types of edge nodes for processing as needed.A task offloading scheme based on distributed matching-greedy algorithm was designed to minimize system power consumption,and the impact of the number of users and delay tolerance on the offloading scheme was studied.Simulation results show that the offloading scheme reduces system power consumption under the condition of satisfying the delay constraint and guarantees the user s service quality.It can effectively improve the experience quality of the central users especially when the crowd is densely distributed.
作者
尼俊红
吕梦楠
NI Jun-hong;LV Meng-nan(Institute of Electric and Electronics Engineering,North China Electric Power University,Baoding 071003,China)
出处
《科学技术与工程》
北大核心
2021年第3期1045-1051,共7页
Science Technology and Engineering
基金
国家自然科学基金(61771195)
河北省科学基金(F2018502047)。
关键词
超密集用户
多接入边缘计算卸载
匹配算法
无人机
路边单元
ultra-dense users
multi-access edge computation offloading
matching algorithm
unmanned aerial vehicle
roadside unit
