Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism

Xiaowei Fu; Peng Feng; Xiaoguang Gao

doi:10.1109/ACCESS.2019.2907544

IEEE Access (Jan 2019)

Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism

Xiaowei Fu,
Peng Feng,
Xiaoguang Gao

Affiliations

Xiaowei Fu: ORCiD; School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
Peng Feng: School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
Xiaoguang Gao: School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China

DOI: https://doi.org/10.1109/ACCESS.2019.2907544
Journal volume & issue: Vol. 7
pp. 41090 – 41100

Abstract

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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.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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