Edge server deployment strategy based on multi-agent reinforcement learning in the internet of vehicles

被引：0
|
作者：
Li, Chuang [1 ]
Ji, Jianqiao [1 ]
Hu, Zhigang [2 ]
Zhou, Zhou [3 ]
机构：
[1] School of Computing, Hunan University of Technology and Business, Changsha,410205, China
[2] School of Computer Science and Engineering, Central South University, Changsha,410075, China
[3] School of Computer Science and Engineering, Changsha University, Changsha,410022, China
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | 2024年 / 55卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Deployment strategy - Edge computing - Edge server - Energy-consumption - Hard problems - Load-Balancing - Multi-agent reinforcement learning - Reinforcement learnings - Server deployment - Vehicle networkings;
D O I：
10.11817/j.issn.1672-7207.2024.07.011
中图分类号：
学科分类号：
摘要：
20
引用
收藏
页码：2567 / 2577
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