4 citations · 12 across the 4 of their papers we have counts for
4 papers
Accurate and Efficient Prediction of Wi-Fi Link Quality Based on Machine Learning
Gabriele Formis, Gianluca Cena, Lukasz Wisniewski +1
Wireless communications are characterized by their unpredictability, posing challenges for maintaining consistent communication quality. This paper presents a comprehensive analysi…
Wireless Sensor Networks based on TSCH/TDMA with Power Consumption and Latency Constraints
Stefano Scanzio, Gabriele Formis, Tullio Facchinetti +2
One of the main goals of wireless sensor networks is to permit the involved nodes to communicate with low energy budgets, as they are typically battery-powered. When such networks…
On the Accuracy and Precision of Moving Averages to Estimate Wi-Fi Link Quality
Gianluca Cena, Gabriele Formis, Matteo Rosani +1
The radio spectrum is characterized by a noticeable variability, which impairs performance and determinism of every wireless communication technology. To counteract this aspect, me…
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
Gabriele Formis, Stefano Scanzio, Lukasz Wisniewski +1
Predicting the behavior of a wireless link in terms of, e.g., the frame delivery ratio, is a critical task for optimizing the performance of wireless industrial communication syste…