Leveraging ML to Detect Interference Patterns of Co-Existing IoT and Non-IoT Networks

Author

Vesa Xerxa, University of Northern IowaFollow
Dheryta Jaisinghani Ph.D., University of Northern IowaFollow
Sarah Diesburg Ph.D., University of Northern IowaFollow
Andrew Berns Ph.D., University of Northern IowaFollow

Location

ScholarSpace, Rod Library, University of Northern Iowa

Presentation Type

Poster Presentation (UNI Access Only)

Document Type

poster

Keywords

Internet of things; Personal area networks (Computer networks); Electromagnetic interference--Measurement;

Abstract

• The Internet of Things (IoT) describes the network of physical objects that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.

• Because IoT are in the same frequency band as Wi-Fi (2.4GHz), there can be limitations and interference with the Wi-Fi performance.

• Number of IoT devices has increased from 11.3 billions (2021) to 13.1 billions(2022).

• Since the number of IoT devices will continue to increase it is important to understand the impact they will have on Wi-Fi performance.

Start Date

29-7-2022 11:00 AM

End Date

29-7-2022 1:30 PM

Event Host

Summer Undergraduate Research Program, University of Northern Iowa

Faculty Advisor

Dheryta Jaisinghani

Faculty Advisor

Sarah Diesburg and Andrew Berns

Department

Department of Computer Science

Copyright

©2022 Vesa Xerxa, Dr. Dheryta Jaisinghani, Dr. Sarah Diesburg, and Dr. Andrew Berns

File Format

application/pdf

Recommended Citation

Xerxa, Vesa; Jaisinghani, Dheryta Ph.D.; Diesburg, Sarah Ph.D.; and Berns, Andrew Ph.D., "Leveraging ML to Detect Interference Patterns of Co-Existing IoT and Non-IoT Networks" (2022). Summer Undergraduate Research Program (SURP) Symposium. 16.
https://scholarworks.uni.edu/surp/2022/all/16