UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios

Recently, unmanned aerial vehicle (UAV) remote sensing has been widely used in emergency scenarios; the operating mode has transitioned from one UAV to multiple UAVs. However, the current multiple-UAV remote sensing mode is characterized by high labor costs and limited operational capabilities; mean...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-03, Vol.14 (6), p.1406
Main Authors: Liu, Jianli, Liao, Xiaohan, Ye, Huping, Yue, Huanyin, Wang, Yong, Tan, Xiang, Wang, Dongliang
Format: Article
Language:English
Subjects:
Algorithms
Collaboration
Constraint modelling
Data processing
Decomposition
Disasters
Efficiency
emergency scenarios
Evacuations & rescues
Flight
Floods
Land surveys
Linear programming
Methods
multiple UAVs
Optimization
Particle swarm optimization
Remote sensing
Scheduling
scheduling method
Task scheduling
Traveling salesman problem
UAV swarm
Unmanned aerial vehicles
Wireless networks
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Summary:Recently, unmanned aerial vehicle (UAV) remote sensing has been widely used in emergency scenarios; the operating mode has transitioned from one UAV to multiple UAVs. However, the current multiple-UAV remote sensing mode is characterized by high labor costs and limited operational capabilities; meanwhile, there is no suitable UAV swarm scheduling method that can be applied to remote sensing in emergency scenarios. To solve these problems, this study proposes a UAV swarm scheduling method. Firstly, the tasks were formulated and decomposed according to the data requirements and the maximum flight range of a UAV; then, the task sets were decomposed according to the maximum flight range of the UAV swarm to form task subsets; finally, aiming at the shortest total flight range of the task subsets and to balance the flight ranges of each UAV, taking the complete execution of the tasks as the constraint, the task allocation model was constructed, and the model was solved via a particle swarm optimization algorithm to obtain the UAV swarm scheduling scheme. Compared with the direct allocation method and the manual scheduling methods, the results show that the proposed method has high usability and efficiency.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14061406