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A Deployment Method for Unmanned Aerial Vehicles Based on Improved Neural Network

Authors :
Wenda Yang
Minggong Wu
Xiangxi Wen
Zhe Zhang
Source :
Journal of Physics: Conference Series. 2395:012080
Publication Year :
2022
Publisher :
IOP Publishing, 2022.

Abstract

The time for drones to complete their missions is limited. When sensors detect targets or perform multiple tasks, the pressure of insufficient resources can be quite high, and even task overload may lead to task failure. This paper focuses on a multi-UAV target assignment method. Compared with the classical model-solving method, which can find the satisfactory solution in a short time. Finally, through MATLAB simulation and verification, we find that the method in this paper has better dynamic adaptability to the complex and changeable environments.

Details

ISSN :
17426596 and 17426588
Volume :
2395
Database :
OpenAIRE
Journal :
Journal of Physics: Conference Series
Accession number :
edsair.doi...........cad5bcf01b7af4aa1847299096bc6dbc
Full Text :
https://doi.org/10.1088/1742-6596/2395/1/012080