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UVCS: Unit Virtual Coordinate System for UAV Intra-Swarm Routing in GPS-Denied Environment

Author

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  • Yuliya Gaidamaka

    (Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
    Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS), Institute of Informatics Problems, 44-2 Vavilov St., 119333 Moscow, Russia)

  • Konstantin Samouylov

    (Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia
    Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (FRC CSC RAS), Institute of Informatics Problems, 44-2 Vavilov St., 119333 Moscow, Russia)

Abstract

Wireless ad hoc networks are the solution for providing network connectivity in challenging environments with a lack or absence of infrastructure. Data transmission in such networks typically adopts geographic routing protocols, which use geographic coordinates as addresses of network devices. However, geographic coordinates are not always obtainable, as traditional localization systems (GNSS, Wi-Fi, terrestrial infrastructure) might not be available due to signal loss. In this paper, we propose a method that assigns virtual coordinates to network nodes, which can be used as input for geographic routing protocols. The numerical results demonstrate the high topological similarity between the physical and the virtual network. Our method exhibits convergence advantages over conventional approaches and outperforms them in terms of the total number of discovered paths.

Suggested Citation

  • Yuliya Gaidamaka & Konstantin Samouylov, 2023. "UVCS: Unit Virtual Coordinate System for UAV Intra-Swarm Routing in GPS-Denied Environment," Mathematics, MDPI, vol. 11(3), pages 1-15, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:694-:d:1050964
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    References listed on IDEAS

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    1. Yingsheng Fan & Xiaogang Qi & Baoguo Yu & Lifang Liu, 2018. "A Distributed Anchor Node Selection Algorithm Based on Error Analysis for Trilateration Localization," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-12, December.
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