15 papers
Improving Wi-Fi Network Performance Prediction with Deep Learning Models
Gabriele Formis, Amanda Ericson, Stefan Forsstrom +3
The increasing need for robustness, reliability, and determinism in wireless networks for industrial and mission-critical applications is the driver for the growth of new innovativ…
Widening the Coverage of Reference Broadcast Infrastructure Synchronization in Wi-Fi Networks
Gianluca Cena, Pietro Chiavassa, Gabriele Formis +1
Precise clock synchronization protocols are increasingly used to ensure that all the nodes in a network share the very same time base. They enable several mechanisms aimed at impro…
Analysis of the operation of a TSN switch and other devices using executable QR codes
Stefano Scanzio, Pietro Chiavassa, Gianluca Cena
Executable QR codes, also known as sQRy, are a technology aimed at inserting executable programs in a QR code. Through a concrete example, in this paper, we demonstrate their usage…
On the Prediction of Wi-Fi Performance through Deep Learning
Gabriele Formis, Amanda Ericson, Stefan Forsstrom +3
Ensuring reliable and predictable communications is one of the main goals in modern industrial systems that rely on Wi-Fi networks, especially in scenarios where continuity of oper…
Compression of executable QR codes or sQRy for Industry: an example for Wi-Fi access points
Stefano Scanzio, Gabriele Formis, Pietro Chiavassa +2
Executable QR codes, or sQRy, is a technology dated 2022 that permits to include a runnable program inside a QR code, enabling interaction with the user even in the absence of an I…
On the Suitability of Wi-Fi for Interconnecting Moving Equipment in Industrial Environments
Pietro Chiavassa, Stefano Scanzio, Gianluca Cena
To ensure an unprecedented degree of flexibility, next-generation Industry 4.0/5.0 production plants increasingly rely on mobile devices, e.g., autonomous mobile robots and wearabl…