UAV mobile control strategy based on potential field method

Zhenming Wang; Qin Zhang; Hai Li

doi:10.1117/12.3037610

27 September 2024 UAV mobile control strategy based on potential field method

Zhenming Wang, Qin Zhang, Hai Li

Author Affiliations +

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132753L (2024) https://doi.org/10.1117/12.3037610
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

In UAV networks, due to the high dynamics of the UAVs themselves and the highly time-varying nature of the environment, the topology of the UAV network changes at a fast rate, so that we need a topology control optimization method to solve the problem. The common wireless topology control methods of power control or relay nodes are not applicable to UAV networks, but the method of controlling the movement of UAVs is more effective. During UAV movement, UAVs are usually affected by factors such as network connectivity and area coverage, and how to find a balance between them is a problem to be considered for topology optimization. To address the above issues, this paper proposes a movement control strategy based on the potential field method so that the UAV network can ensure network connectivity while achieving area coverage. The subsequent simulation results also show that this movement strategy can satisfy the balance between coverage and connectivity.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenming Wang, Qin Zhang, and Hai Li "UAV mobile control strategy based on potential field method", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132753L (27 September 2024); https://doi.org/10.1117/12.3037610

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE