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Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism
DOI:10.1109/ACCESS.2019.2907544.png)
Abstract
En 中文
This paper proposed an unmanned air vehicle (UAV) swarm task and resource dynamic assignment algorithm based on task sequence mechanism. By establishing a task sequence, each UAV strictly separates the necessary task time and synchronization waiting time. For the found new targets, each UAV quickly determines its available time period. According to the available time and task resources, an auction algorithm and consensus algorithm are used to decompose the task assignment into initial distributed assignment phase and swarm consensus phase to develop real-time conflict-free task solutions for UAV swarm. The simulation experiment verified that the algorithm could assign different tasks to UAVs in a real-time distributed manner with the limited resources of each UAV.
Keywords:
Task and resource assignment
task sequence mechanism
unmanned air vehicle
UAV swarm
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IF:
3.6
Papers:
9.8W
Citations:
29.4W
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Cited Papers
An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty
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IF3.5

