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基于时间图的多个无人机任务卸载算法.

Lingyu Zhao1, Xiaorong Zhu1, Jianhong Cai1

  • 1College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

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概括
此摘要是机器生成的。

本研究介绍了6G网络中无人机任务卸载的时间图算法. 这种新的方法通过优化任务执行优先级和资源分配来最大限度地减少无人机群的完成时间.

关键词:
无人机无人机无人机是什么?计算网络 计算网络是一个计算网络.任务卸载 任务卸载时间图的时间图.两个阶段的匹配算法.

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科学领域:

  • 计算机科学 计算机科学
  • 电气工程 电气工程
  • 网络工程 网络工程

背景情况:

  • 数据规模不断增加,需要在未来的6G网络中进行高效的任务卸载.
  • 无人机为移动边缘计算提供了潜力,但在电池和计算方面存在局限性.
  • 协作无人机可以克服个人限制,以提高任务卸载能力.

研究的目的:

  • 通过使用时间图,为多个无人机提出一种新的任务卸载算法.
  • 为了最大限度地减少无人机群任务卸载的总完成时间.
  • 为了优化任务优先级,子任务依赖性和资源分配.

主要方法:

  • 制定了一个优化问题,以尽量减少总完成时间.
  • 引入了一个时间图来建模服务节点和任务序列.
  • 计算近距离指数和时间位偏移以确定任务优先级.
  • 将问题转化为指向非循环图连接问题.
  • 提出了一种两阶段匹配算法,以实现最佳的资源配置.

主要成果:

  • 拟议的算法大大减少了UAV群的任务完成时间.
  • 与现有算法相比,模拟结果显示性能优越.
  • 该算法有效地管理任务实用性和资源分配.

结论:

  • 基于时间图的算法为6G网络中的无人机任务卸载提供了有效的解决方案.
  • 优化的任务卸载提高了无人机群的效率和实用性.
  • 该方法解决了单个无人机的计算和电池限制.