3-D placement schemes of multiple UAVs in NFP-based wireless networks

Aymen Omri, Mazen O. Hasna, Muhammad Zeeshan Shakir, Mohammed Shaqfeh

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)
    232 Downloads (Pure)

    Abstract

    In this paper, we propose two placement strategies of multiple unmanned aerial vehicles (UAVs) in network flying platform (NFP)-based wireless networks. The first strategy is based on a proposed distributed placement algorithm (DPA) that can be executed by the collaboration of the users and a high altitude controlling NFP (mother UAV). The second strategy uses a proposed centric placement algorithm (CPA) at the mother UAV to define the number and optimal placement of the needed UAVs. For the system model, a Matern Cluster Process (MCP) is used to describe the users’ location in realistic scenarios. Based on that, we detail the proposed algorithms, and we derive the corresponding number expressions of the needed UAVs. Numerical results are used to confirm the derived expression and to evaluate the proposed 3-D placement strategies.
    Original languageEnglish
    Title of host publication5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)
    Place of PublicationSendai, Japan
    PublisherIEEE
    Number of pages5
    Edition2018
    ISBN (Print)9781538666388
    DOIs
    Publication statusPublished - 7 Dec 2018
    EventThe 5th International Conference on Information and Communication Technologies for Disaster Management - Tohoku University, Sendai, Japan
    Duration: 4 Dec 20187 Dec 2018
    Conference number: 5th
    http://ict-dm2018.net/ (Conference website.)
    http://ict-dm2018.net/ (Conference website)

    Conference

    ConferenceThe 5th International Conference on Information and Communication Technologies for Disaster Management
    Abbreviated titleICT-DM2018
    Country/TerritoryJapan
    CitySendai
    Period4/12/187/12/18
    Internet address

    Keywords

    • 3-D Placement Strategies
    • UAV
    • Wireless Networks

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