Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

On the Impact of TIG Welding Interference on Industrial Wi-Fi Networks: Modeling of Empirical Data and Analytical Studying of Coexistence

Published

Author(s)

Mohamed Hany, Jing Geng, Karl Montgomery, Richard Candell

Abstract

The use of IEEE 802.11 Wi-Fi in industrial applications has been enabled by Time-sensitive networking capabilities to achieve deterministic communications within time-critical applications. However, the medium access control (MAC) layer of the IEEE 802.11 still performs a carrier sense multiple access (CSMA) scheme to access the shared medium. As a result, any wireless interference over the shared medium can impact the performance an IEEE 802.11 industrial wireless network through collisions or occupying the medium leading to increased latency and decreased service quality. Measuring the wireless behavior of Tungsten Inert Gas (TIG) welding, we have found that it can cause interference at the 2.4 GHz band that is commonly used by the IEEE 802.11 networks. In this work, we first model the measured TIG welding signal as a partitioned Markov chain where its structure and transition probabilities are derived to represent the TIG welding behavior accurately. Then, we utilize the Markov chain model of the IEEE 802.11 by Bianchi and its derivatives to predict the throughput of the IEEE 802.11 network with TIG welding interference.
Proceedings Title
The 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS)
Conference Dates
May 12-15, 2024
Conference Location
St. Louis, MO, US

Citation

Hany, M. , Geng, J. , Montgomery, K. and Candell, R. (2024), On the Impact of TIG Welding Interference on Industrial Wi-Fi Networks: Modeling of Empirical Data and Analytical Studying of Coexistence, The 7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), St. Louis, MO, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956781 (Accessed June 29, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created May 12, 2024, Updated June 3, 2024