UAV mobile control strategy based on potential field method

Zhenming Wang*, Qin Zhang, Hai Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSixth International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2024
EditorsTao Lei, Dehai Zhang
PublisherSPIE
ISBN (Electronic)9781510682924
DOIs
Publication statusPublished - 2024
Event6th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2024 - Wuhan, China
Duration: 19 Apr 202421 Apr 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13275
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference6th International Conference on Information Science, Electrical, and Automation Engineering, ISEAE 2024
Country/TerritoryChina
CityWuhan
Period19/04/2421/04/24

Keywords

  • mobile control strategy
  • potential filed method
  • topology optimization
  • UAV network

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