Empowering drones' teamwork with airborne network

Seungho Yoo, Jongtack Jung, Albert Y. Chung, Kangho Kim, Jiyeon Lee, Seongjoon Park, Suk Kyu Lee, Hyung Kyu Lee, Hwangnam Kim

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

12 Citations (Scopus)

Abstract

We propose a unified platform for multiple unmanned aerial vehicles (UAV). Recently, the UAV technology has seen a great development. However, the capability of single drone is yet limited by its physical features. To better enhance the capability of drones, we have devised and implemented a fleet based multi-UAV platform. Our proposed platform consists of powerful network functions and enhanced control and sensing algorithms, so that a unified fleet control can be accomplished. Further, it provides a platform for applications that require multiple UAVs working together. The network functions of the proposed platform achieves a strong connectivity and robustness, and a precise relative and absolute localization enables a fleet based control system. With the help of core modules, the proposed platform achieves a well controlled fleet flight and network management.

Original languageEnglish
Title of host publicationProceedings - 31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
EditorsLeonard Barolli, Makoto Takizawa, Tomoya Enokido, Hui-Huang Hsu, Chi-Yi Lin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages678-685
Number of pages8
ISBN (Electronic)9781509060283
DOIs
Publication statusPublished - 2017 May 5
Event31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017 - Taipei, Taiwan, Province of China
Duration: 2017 Mar 272017 Mar 29

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume0
ISSN (Print)1550-445X

Other

Other31st IEEE International Conference on Advanced Information Networking and Applications, AINA 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period17/3/2717/3/29

Keywords

  • Drone
  • Fleet Control
  • Flying Ad-hoc Network (FANET)
  • Network
  • Unmanned Aerial Vehicle (UAV)

ASJC Scopus subject areas

  • Engineering(all)

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