A Study on System for Synchronization of Multiple UAVs and Ground Control System

무인이동체 및 지상국 컴퓨터 간의 시간 정보 동기화를 위한 시스템 연구

  • Lee, Won-Seok (Sejong University, Information and Communication Engineering) ;
  • Lee, Woon-Sang (Sejong University, Information and Communication Engineering) ;
  • Song, Hyoung-Kyu (Sejong University, Information and Communication Engineering)
  • 이원석 (세종대학교 정보통신공학과) ;
  • 이운상 (세종대학교 정보통신공학과) ;
  • 송형규 (세종대학교 정보통신공학과)
  • Received : 2020.02.13
  • Accepted : 2020.03.18
  • Published : 2020.03.31


In this paper, system that includes multiple unmanned aerial vehicles (UAVs) are considered. The vehicles are equipped with a mission computer for a specific mission and equipment. The mission equipment operates based on the time of mission computer. Also, data collected by flight computer and mission computer is saved with the time of each operating system. Generally, time offset between multiple computers always exists, though the computers are connected to the Internet. When the data collected by multiple computers is combined, the time offset causes damage on reliability of the combined data. Computers that connected to the Internet are synchronized by network time protocol (NTP). This paper proposes a system that the time of multiple mission computers are synchronized by the same NTP server to minimize the time offset. In the results of the measurement, the system time offset of multiple mission computer is maintained within 10ms from the system time of the server computer.



Supported by : 국토교통과학기술진흥원, 과학기술정보통신부, 산업통산자원부


  1. Culver, K. B., "From battlefield to newsroom: Ethical implications of drone technology in journalism," Journal of mass media ethics, vol. 29, no. 1, pp. 52-64, 2014. https://doi.org/10.1080/08900523.2013.829679
  2. Alwateer M., Loke S. W., and Fernando, N., "Enabling Drone Services: Drone Crowdsourcing and Drone Scripting," IEEE Access, vol. 7, pp. 110035-110049, 2019.
  3. Choi, C. H., Jang, H. J., Lim, S. G., Lim, H. C., Cho, S. H., and Gaponov, I., "Automatic wireless drone charging station creating essential environment for continuous drone operation," 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), Ansan, pp. 132-136, 2016.
  4. Lee, J., "A Desing of Small Drone with Open Source Frame and Software," Journal of the Semiconductor & Display Technology, vol. 18, no. 2, pp. 78-79, 2019.
  5. Duan, H., Wang, Z., Liu, Y., Li, X., Huang, H., and Zhao, H., "IWCA Algorithm for Clustered Drone Information Transmission Network," 2018 5th International Conference on Soft Computing & Machine Intelligence (ISCMI), Nairobi, Kenya, pp. 119-122, 2018.
  6. Choi, S., Sung, N., Park, J., Ahn, I., and Kim, J., "Enabling drone as a service: OneM2M-based UAV/ drone management system," 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), Milan, pp. 18-20, 2017.
  7. Shi, W. et al., "Multiple Drone-Cell Deployment Analyses and Optimization in Drone Assisted Radio Access Networks," in IEEE Access, vol. 6, pp. 12518-12529, 2018. https://doi.org/10.1109/ACCESS.2018.2803788