Allocation of Multi-UAVs Timing-dependent Tasks based on Completion Time

Yuheng Chen, Jinchao Chen, Chenglie Du
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引用次数: 0

Abstract

UAVs have played an important role in many fields such as military, civilian and scientific research due to their strong advantages in information sharing and behavioral collaboration. However, it is quite difficult to provide a reasonable allocation algorithm for multiple UAVs timing-dependent tasks since the complexity of timing-dependent tasks and the heterogeneity among multiple UAVs. Aiming at the problem that multiple UAVs perform timing-dependent tasks, this paper firstly uses DAG to represent the timing-dependencies of tasks, secondly considers the priority of tasks, and finally combines the completion time of tasks to propose the task-completion-time based task allocation algorithm(TCT). The allocation results based on the randomly generated area scanning task set shows that, compared with the traditional solution, the assignment algorithm in this paper can improve the distance and time performance by up to 32% and 37% respectively.
基于完成时间的多无人机时序任务分配
无人机以其强大的信息共享和行为协同优势,在军事、民用、科研等诸多领域发挥着重要作用。然而,由于时间相关任务的复杂性和多无人机之间的异构性,为多无人机时间相关任务提供合理的分配算法是相当困难的。针对多架无人机执行时间依赖任务的问题,首先采用DAG表示任务的时间依赖关系,其次考虑任务的优先级,最后结合任务的完成时间提出基于任务完成时间的任务分配算法(TCT)。基于随机生成的区域扫描任务集的分配结果表明,与传统方案相比,本文分配算法的距离性能和时间性能分别提高了32%和37%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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