A day for a remote controlled AGV: Latency and Troughput over VPN

  • Ronal Bejarano Rodriguez (Creator)
  • Jan Blech (Supervisor)
  • Roope Pääkkönen (Other)
  • Ian Peake (Royal Melbourne Institute of Technology University) (Contributor)
  • Peter Herrmann (Norwegian University of Science and Technology) (Supervisor)
  • Valeriy Vyatkin (Supervisor)

Dataset

Description

Latency and throughput captured based on the amount of data required to provide velocity commands remotely for an AGV. Captured from Espoo (Helsinki area) to Amsterdam (cloud) and Melbourne (RMIT VxLAb).

Rate: 1 sample per minute
Units: milliseconds and kB/s for Latency and throughput respectively
Methodology: Latency captured as the average of 10 ping attempts. Throughput captured with a fixed data size of 20 kiloBytes in 10 transmissions (2 kB each).
Size: For Amsterdam and Melbourne, the data size is 1440 samples (1 day)
For Helsinki-Area the data size is 360 samples (6 hours)
Connection bandwidth in Helsinki: 50 kbps
Infrastructure in Amsterdam: Azure cloud, VM instance
Infrastructure in Melbourne: Dedicated server in RMIT VxLab
OS: Linux - Ubuntu 18
VPN: OpenVPN 2.4
Logging (Script for data logging): https://version.aalto.fi/gitlab/bejarar1/lt_data
Date made available21 Apr 2021
Date of data production24 Mar 2020 - 1 May 2020
  • Assessing Long Distance Communication Alternatives for the Remote Control of AGVs

    Bejarano, R., Pääkkönen, R., Olaf Blech, J., Peake, I., Herrmann, P. & Vyatkin, V., Sep 2020, Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. IEEE, p. 69-76 8 p. 9211954. (Proceedings IEEE International Conference on Emerging Technologies and Factory Automation).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    88 Downloads (Pure)

Cite this