IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i23p4523-d291670.html
   My bibliography  Save this article

Energy-Efficient Topology Control for UAV Networks

Author

Listed:
  • Seongjoon Park

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea
    These authors contributed equally to this work.)

  • Hyeong Tae Kim

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea
    These authors contributed equally to this work.)

  • Hwangnam Kim

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

Abstract

Following striking developments in Unmanned Aerial Vehicle (UAV) technology, the use of UAVs has been researched in various industrial fields. Furthermore, a number of studies on operating multiple autonomous networking UAVs suggest a potential to use UAVs in large-scale environments. To achieve efficiency of performance in multi-UAV operations, it is essential to consider a variety of factors in UAV network conditions, such as energy efficiency, network overhead, and so on. In this paper, we propose a novel scheme that improves the energy efficiency and network throughputs by controlling the topology of the network. Our proposed network topology control scheme functions between the data link layer (L3) and the network layer (L2). Accordingly, it can be considered to be layer 2.5 in the network hierarchy model. In addition, our methodology includes swarm intelligence, meaning that whole topology control can be generated with less cost and effort, and without a centralized controller. Our experimental results confirm the notable performance of our proposed method compared to previous approaches.

Suggested Citation

  • Seongjoon Park & Hyeong Tae Kim & Hwangnam Kim, 2019. "Energy-Efficient Topology Control for UAV Networks," Energies, MDPI, vol. 12(23), pages 1-19, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4523-:d:291670
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/23/4523/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/23/4523/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4523-:d:291670. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.