Research on Vehicle Task Management Based on TBMADDPG

Zhao-Nian Li Zhao-Nian Li, Yao-Chen Zhang Zhao-Nian Li, Zhen-Jiang Zhang Yao-Chen Zhang, Wen-Hui Wang Zhen-Jiang Zhang, Mao-Jie Zhang Wen-Hui Wang, Guo-Hua Shi Mao-Jie Zhang
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引用次数: 0

Abstract

Recently, the traditional cloud computing network of vehicle networking has some problems to be solved: 1) the security trust between the vehicle and the subgrade unit; 2) The vehicle may be attacked by potentially malicious edge servers during task unloading. In this paper, in order to solve the above problems, aiming at the security problem of the edge computing network in the vehicle task unloading and resource allocation problems of multi-vehicle and multi-roadbed units in the urban intersection scene, the vehicle task unloading and resource management optimization algorithm and trust model based on the vehicle edge computing network are constructed, and the approximate optimal simulation is carried out for the urban intersection scene. Simulation results show that the proposed algorithm can effectively improve the overall efficiency of the system.  
基于 TBMADDPG 的车辆任务管理研究
近来,传统云计算网络的车联网存在一些亟待解决的问题:1)车辆与底层单元之间的安全信任问题;2)车辆在任务卸载过程中可能受到潜在恶意边缘服务器的攻击。本文针对上述问题,针对边缘计算网络在城市路口场景下多车多路基单元车辆任务卸载和资源分配问题中的安全性问题,构建了基于车辆边缘计算网络的车辆任务卸载和资源管理优化算法及信任模型,并针对城市路口场景进行了近似最优仿真。仿真结果表明,所提出的算法能有效提高系统的整体效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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