Developing Models from Measurements in a Noisy Environment: Lessons from an Indoor Wi-Fi Measurement Study on Application Performance

While anecdotally it is believed that Wi-Fi signal strength impacts the application performance, there is little work to quantity this connection. In this work, we explored a data-driven approach to model the relationship between Wi-Fi signal strength and the application performance in an indoor wir...

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Bibliographic Details
Main Authors: Hartshorn, Caylin A., Al-Shaikhli, Waleed K., Mehr, Sheyda Kiani, Cummins, Daniel, Tamarapalli, Venkatesh, Medhi, Deep
Format: Conference Proceeding
Language:English
Subjects:
Application Throughput
Computational modeling
Indoor Wi-Fi Measurement
Noise measurement
Noisy Environment
Regression
Signal Strength
Wireless communication
Wireless fidelity
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Summary:While anecdotally it is believed that Wi-Fi signal strength impacts the application performance, there is little work to quantity this connection. In this work, we explored a data-driven approach to model the relationship between Wi-Fi signal strength and the application performance in an indoor wireless environment. We discuss challenges in measurement in a noisy indoor Wi-Fi environment. Our experience and lessons learned are shared for the broader audience. While it was not possible to find definitive empirical models, our study shows that a trend in relationship can still be obtained. We conclude with lessons learned from this work.
ISSN:2637-9430
DOI:10.1109/ICCCN52240.2021.9522237