| 唐宇龙*,张二青*,杨伟纯**,曾庆涛*.基于Stackelberg的无人机移动边缘计算卸载任务方法[J].高技术通讯(中文),2025,35(8):891~900 |
| 基于Stackelberg的无人机移动边缘计算卸载任务方法 |
| Stackelberg based task unloading method for UAV mobile edge computing |
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| DOI：10. 3772 / j. issn. 1002-0470. 2025. 08. 008 |
| 中文关键词: 移动边缘计算； 无人机； 斯塔克尔伯格博弈 |
| 英文关键词: mobile edge computing (MEC), unmanned aerial vehicle (UAV), Stackelberg game |
| 基金项目: |
| 作者 | 单位 | | 唐宇龙* | （*北京印刷学院信息工程学院北京 102627）
（**延边长白山印务有限公司延边 133000） | | 张二青* | | | 杨伟纯** | | | 曾庆涛* | |
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| 摘要点击次数: 79 |
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| 中文摘要: |
| 本文研究了一种无人机（unmanned aerial vehicle，UAV）辅助移动边缘计算网络（mobile edge computing，MEC）中任务卸载的优化方法。首先，通过联合用户的任务卸载比例与无人机给出的卸载代价，根据两者的兴趣构建效用函数，结合它们之间的竞争关系，组成一个双层的斯塔克尔伯格（Stackelberg）博弈算法。其次，将此博弈分为领导者子博弈与追随者子博弈，经过证明，2个子博弈均具有纳什均衡，并通过梯度上升搜索算法进行多次迭代达到整个系统的Stackelberg平衡。最后，将本文提出的算法与随机卸载比例算法、全卸载算法和本地计算算法在多个场景下进行比较。实验结果表明，本文提出的算法具有一定优越性。 |
| 英文摘要: |
| This paper studies an optimization method for task unloading in mobile edge computing (MEC) network assisted by unmanned aerial vehicle (UAV). Firstly, by combining the task offloading ratio of users with the offloading cost provided by drones, a utility function is constructed based on their interests, and combined with their competitive relationship, a double-layer Stackelberg game algorithm is formed. Secondly, this game is divided into a leader sub-game and a follower sub game. It has been proven that both sub games have Nash equilibrium, and the Stackelberg equilibrium of the entire system is achieved through multiple iterations using the gradient ascending search algorithm. Finally, the proposed algorithm is compared with random unloading proportion algorithm, full unloading algorithm, and local computing algorithm in multiple scenarios, and experimental results show that the proposed algorithm exhibits certain advantages. |
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