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UAV Deployment Design Under Incomplete Information with a Connectivity Constraint for UAV-Assisted Networks

Author

Listed:
  • Takumi Sakamoto

    (Graduate School of Science and Engineering, Kansai University, Osaka 564-8680, Japan)

  • Tomotaka Kimura

    (Faculty of Science and Engineering, Doshisha University, Kyoto 610-0321, Japan)

  • Kouji Hirata

    (Faculty of Engineering Science, Kansai University, Osaka 564-8680, Japan)

Abstract

In this paper, we introduce an Unmanned Aerial Vehicle (UAV) deployment design with a connectivity constraint for UAV-assisted communication networks. In such networks, multiple UAVs are collaboratively deployed in the air to form a network that realizes efficient relay communications from ground mobile clients to the base station. We consider a scenario where ground clients are widely distributed in a target area, with their population significantly outnumbering available UAVs. The goal is to enable UAVs to collect and relay all client data to the base station by continuously moving while preserving end-to-end connectivity with the base station. To achieve this, we propose two dynamic UAV deployment methods: genetic algorithm-based and modified ε -greedy algorithm-based methods. These methods are designed to efficiently collect data from mobile clients while maintaining UAV connectivity, based solely on local information about nearby client positions. Through numerical experiments, we demonstrate that the proposed methods dynamically form UAV-assisted networks to efficiently and rapidly collect client data transmitted to the base station.

Suggested Citation

  • Takumi Sakamoto & Tomotaka Kimura & Kouji Hirata, 2025. "UAV Deployment Design Under Incomplete Information with a Connectivity Constraint for UAV-Assisted Networks," Future Internet, MDPI, vol. 17(9), pages 1-19, September.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:9:p:401-:d:1740444
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    References listed on IDEAS

    as
    1. Seongjoon Park & Hyeong Tae Kim & Hwangnam Kim, 2019. "Energy-Efficient Topology Control for UAV Networks," Energies, MDPI, vol. 12(23), pages 1-19, November.
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