TSN-FlexTest Traffic Streams for Spot Robot, Tactile Internet, and Generic Data

Citation Author(s):
Marian
Ulbricht
Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden
Stefan
Senk
Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden
Hosein
K. Nazari
Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden
How-Hang
Liu
Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden
Martin
Reisslein
School of Electrical, Computer and Energy Eng., Arizona State University
Giang T.
Nguyen
Junior Professorship of Haptic Communication Systems, Technische Universität Dresden
Frank H.P.
Fitzek
Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden
Submitted by:
Stefan Senk
Last updated:
Tue, 08/13/2024 - 03:03
DOI:
10.21227/4eyw-n176
Data Format:
*.pcap
Links:
GitHub.com: TSN-FlexTest
License:
Creative Commons Attribution
402 Views
Categories:
Communications
Keywords:
Time-Sensitive Networking, Ethernet, Industrial Communication, Quality of Service
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Abstract 

In this dataset, we provide detailed traffic stream data for the Spot robot, including both the Spot robot control traffic stream and the Spot video stream. The Spot robot traffic streams provide realistic traffic data for communication network evaluations, e.g., for measurements with the TSN FlexText testbed. Furthermore, we share data for the tactile internet including audio, video, and robotic communication. Finally, the dataset includes generic data streams for three different intervals (0.2ms, 0.3ms, and 0.5ms) with two different Ethernet frame sizes. The data is provided as .*pcap which can be replayed with various tools or be analyzed, e.g., with Wireshark. The Spot data streams are split into two directions and are based on Spot API calls.

Instructions: 

Use tools such as tcpreplay to replay the data. Wireshark can be leveraged to analyze the data. Alternatively, refer to our GitHub.com repository (see link) to make use of our scripts. Further instructions can be found there on how to generate data via Python3.

Funding Agency: 
German Federal Ministry for Economic Affairs and Climate Action (BMWK), Deutsche Forschungsgemeinschaft (DFG)
Grant Number: 
01MC22007A (BMWK), 01MJ22008A (BMWK), 01MJ22018C (BMWK), EXC 2050/1 – Project ID 390696704 – Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop” (CeTI)

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