无人机辅助边缘计算中的轨迹感知卸载决策:一个全面的调查
Tanmay Baidya1, Ahmadun Nabi1, Sangman Moh1
1Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 61452, Republic of Korea.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
本调查审查了无人机 (UAV) 辅助边缘计算的轨迹感知卸载决策. 优化无人机路径对于物联网 (IoT) 系统中高效的计算卸载至关重要.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 与边缘计算集成的无人驾驶飞行器 (UAV) 为远程和具有挑战性的环境中物联网 (IoT) 应用提供了重要支持.
- 有效的卸载决策对于优化无人机辅助边缘计算系统性能至关重要.
研究的目的:
- 调查和分析现有的轨迹感知卸载决策技术,用于无人机辅助边缘计算.
- 为设计概念,操作特征和这些技术的特征提供全面的概述.
主要方法:
- 关于轨迹感知卸载决策技术的当前文献的综述.
- 基于设计原则和操作特征的技术的比较分析.
主要成果:
- 识别和分类了各种轨迹感知卸载策略.
- 突出了无人机轨迹对卸载决策和整体系统性能的影响.
结论:
- 轨迹优化是提高物联网无人机辅助边缘计算的关键因素.
- 需要进一步的研究来解决未解决的问题,并探索这一领域的未来方向.
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