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 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.