The invention discloses a method and a device for optimizing an unmanned aerial vehicle track and a user unloading decision of an edge computing system, which are used for solving the technical problem that the overall performance of the edge computing system is poor due to the existing research on an unmanned aerial vehicle track and user unloading decision optimization technology of the edge computing system. The method comprises the steps of processing obtained user unmanned aerial vehicle calculation frequency, user generation task data, user coordinate data, unmanned aerial vehicle motion state data and obstacle position data corresponding to an unmanned aerial vehicle to obtain user unmanned aerial vehicle task time delay and user unmanned aerial vehicle task energy consumption, and then combining a preset unloading decision and unmanned aerial vehicle physical quantity data to obtain a user unmanned aerial vehicle task time delay and user unmanned aerial vehicle task energy consumption; and obtaining an unmanned aerial vehicle trajectory Markov decision process model and a user unloading decision Markov decision process model, and solving the models to generate a target unmanned aerial vehicle trajectory flight strategy and a target user unloading decision strategy.
本发明公开了一种边缘计算系统无人机轨迹和用户卸载决策优化方法及装置,用于解决现有的对于边缘计算系统的无人机轨迹和用户卸载决策优化技术的研究导致边缘计算系统的整体性能较差的技术问题。方法包括对获取的用户无人机计算频率、用户产生任务数据、用户坐标数据、无人机的运动状态数据、无人机对应的障碍物位置数据进行处理,得到用户无人机任务时延和用户无人机任务能耗,再结合预置卸载决策、无人机物理量数据,得到无人机轨迹马尔科夫决策过程模型和用户卸载决策马尔科夫决策过程模型,并对模型进行求解,生成目标无人机轨迹飞行策略和目标用户卸载决策策略。
Edge computing system unmanned aerial vehicle trajectory and user unloading decision optimization method and device
边缘计算系统无人机轨迹和用户卸载决策优化方法及装置
2025-03-07
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
European Patent Office | 2023
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