Hybrid MAC for Military UAV Networks

Gyu Seon Kim; Hyunsoo Lee; Chanyoung Park; Soyi Jung; Jae Hyun Kim; Joongheon Kim

doi:10.1109/ICOIN56518.2023.10048910

Hybrid MAC for Military UAV Networks

Gyu Seon Kim
, Hyunsoo Lee
, Chanyoung Park
, Soyi Jung^*
, Jae Hyun Kim^*
, Joongheon Kim^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Unmanned Aerial Vehicles (UAVs) are being studied extensively for military use because of their advantages of fast maneuverability and ability to penetrate deep into enemy positions. In particular, when UAVs are operated for military purposes, swarm flight and stable communication technology must be considered due to the nature of mission performance. In this paper, we propose a Hybrid MAC UAV model that can communicate at high speed even in swarm flight of multiple UAVs by varying the communication method (CSMA/TDMA) according to the movement of the UAVs on the battlefield. The sensor accepts nine sensor parameters and recognizes the external environment of the UAV. Based on this, it aims to create an "External Environment Self-Learning-based MAC (Medium Access Control)."By making a UAV with Raspberry PI and implementing it through actual flight tests, it evaluates the practical communication excellence of the Hybrid MAC UAV and suggests its applicability on the battlefield.

Original language	English
Title of host publication	37th International Conference on Information Networking, ICOIN 2023
Publisher	IEEE Computer Society
Pages	656-659
Number of pages	4
ISBN (Electronic)	9781665462686
DOIs	https://doi.org/10.1109/ICOIN56518.2023.10048910
Publication status	Published - 2023
Event	37th International Conference on Information Networking, ICOIN 2023 - Bangkok, Thailand Duration: 2023 Jan 11 → 2023 Jan 14

Publication series

Name	International Conference on Information Networking
Volume	2023-January
ISSN (Print)	1976-7684

Conference

Conference	37th International Conference on Information Networking, ICOIN 2023
Country/Territory	Thailand
City	Bangkok
Period	23/1/11 → 23/1/14

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICOIN56518.2023.10048910

Cite this

Kim, GS, Lee, H, Park, C, Jung, S, Kim, JH & Kim, J 2023, Hybrid MAC for Military UAV Networks. in 37th International Conference on Information Networking, ICOIN 2023. International Conference on Information Networking, vol. 2023-January, IEEE Computer Society, pp. 656-659, 37th International Conference on Information Networking, ICOIN 2023, Bangkok, Thailand, 23/1/11. https://doi.org/10.1109/ICOIN56518.2023.10048910

@inproceedings{dffec3e359494538b5a5140d341390c6,

title = "Hybrid MAC for Military UAV Networks",

abstract = "Unmanned Aerial Vehicles (UAVs) are being studied extensively for military use because of their advantages of fast maneuverability and ability to penetrate deep into enemy positions. In particular, when UAVs are operated for military purposes, swarm flight and stable communication technology must be considered due to the nature of mission performance. In this paper, we propose a Hybrid MAC UAV model that can communicate at high speed even in swarm flight of multiple UAVs by varying the communication method (CSMA/TDMA) according to the movement of the UAVs on the battlefield. The sensor accepts nine sensor parameters and recognizes the external environment of the UAV. Based on this, it aims to create an {"}External Environment Self-Learning-based MAC (Medium Access Control).{"}By making a UAV with Raspberry PI and implementing it through actual flight tests, it evaluates the practical communication excellence of the Hybrid MAC UAV and suggests its applicability on the battlefield.",

author = "Kim, \{Gyu Seon\} and Hyunsoo Lee and Chanyoung Park and Soyi Jung and Kim, \{Jae Hyun\} and Joongheon Kim",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 37th International Conference on Information Networking, ICOIN 2023 ; Conference date: 11-01-2023 Through 14-01-2023",

year = "2023",

doi = "10.1109/ICOIN56518.2023.10048910",

language = "English",

series = "International Conference on Information Networking",

publisher = "IEEE Computer Society",

pages = "656--659",

booktitle = "37th International Conference on Information Networking, ICOIN 2023",

}

TY - GEN

T1 - Hybrid MAC for Military UAV Networks

AU - Kim, Gyu Seon

AU - Lee, Hyunsoo

AU - Park, Chanyoung

AU - Jung, Soyi

AU - Kim, Jae Hyun

AU - Kim, Joongheon

PY - 2023

Y1 - 2023

N2 - Unmanned Aerial Vehicles (UAVs) are being studied extensively for military use because of their advantages of fast maneuverability and ability to penetrate deep into enemy positions. In particular, when UAVs are operated for military purposes, swarm flight and stable communication technology must be considered due to the nature of mission performance. In this paper, we propose a Hybrid MAC UAV model that can communicate at high speed even in swarm flight of multiple UAVs by varying the communication method (CSMA/TDMA) according to the movement of the UAVs on the battlefield. The sensor accepts nine sensor parameters and recognizes the external environment of the UAV. Based on this, it aims to create an "External Environment Self-Learning-based MAC (Medium Access Control)."By making a UAV with Raspberry PI and implementing it through actual flight tests, it evaluates the practical communication excellence of the Hybrid MAC UAV and suggests its applicability on the battlefield.

AB - Unmanned Aerial Vehicles (UAVs) are being studied extensively for military use because of their advantages of fast maneuverability and ability to penetrate deep into enemy positions. In particular, when UAVs are operated for military purposes, swarm flight and stable communication technology must be considered due to the nature of mission performance. In this paper, we propose a Hybrid MAC UAV model that can communicate at high speed even in swarm flight of multiple UAVs by varying the communication method (CSMA/TDMA) according to the movement of the UAVs on the battlefield. The sensor accepts nine sensor parameters and recognizes the external environment of the UAV. Based on this, it aims to create an "External Environment Self-Learning-based MAC (Medium Access Control)."By making a UAV with Raspberry PI and implementing it through actual flight tests, it evaluates the practical communication excellence of the Hybrid MAC UAV and suggests its applicability on the battlefield.

UR - https://www.scopus.com/pages/publications/85149181250

U2 - 10.1109/ICOIN56518.2023.10048910

DO - 10.1109/ICOIN56518.2023.10048910

M3 - Conference contribution

AN - SCOPUS:85149181250

T3 - International Conference on Information Networking

SP - 656

EP - 659

BT - 37th International Conference on Information Networking, ICOIN 2023

PB - IEEE Computer Society

T2 - 37th International Conference on Information Networking, ICOIN 2023

Y2 - 11 January 2023 through 14 January 2023

ER -

Hybrid MAC for Military UAV Networks

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this