activity
20222025
most citedSeamless Link-level Redundancy to Improve Reliability of Industrial Wi-Fi Networks

78 citations · 285 across the 35 of their papers we have counts for

collaborators

35 papers

cs.HC2025

QRmap: executable QR codes for Navigation in Industrial Environments and Beyond

Stefano Scanzio, Paolo Campagnale, Pietro Chiavassa +1

QR codes are nowadays customarily used for embedding static data such as web hyperlinks or plain text. The sQRy technology (executable QR codes) permits to embed executable program…

cs.NI2025★ 1 cited

Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks

Stefano Scanzio, Gabriele Formis, Tullio Facchinetti +1

Wireless sensor networks (WSNs) are employed across a wide range of industrial applications where ultra-low power consumption is a critical prerequisite. At the same time, these sy…

cs.NI2025

Performance Evaluation of Parallel Wi-Fi Redundancy with Deferral Techniques

Gianluca Cena, Pietro Chiavassa, Stefano Scanzio

Wireless communication is increasingly used in industrial environments, since it supports mobility of interconnected devices. Among the transmission technologies operating in unlic…

cs.NI2025

Wi-Fi Rate Adaptation for Moving Equipment in Industrial Environments

Pietro Chiavassa, Stefano Scanzio, Gianluca Cena

Wi-Fi is currently considered one of the most promising solutions for interconnecting mobile equipment (e.g., autonomous mobile robots and active exoskeletons) in industrial enviro…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025

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…

cs.NI2025★ 3 cited

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…

cs.NI2025★ 4 cited

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…

cs.HC2025★ 1 cited

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…

cs.NI2025★ 1 cited

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…

cs.CR2025

Robust Multicast Origin Authentication in MACsec and CANsec for Automotive Scenarios

Gianluca Cena, Lucia Seno, Stefano Scanzio

Having everything interconnected through the Internet, including vehicle onboard systems, is making security a primary concern in the automotive domain as well. Although Ethernet a…

cs.NI2024★ 1 cited

Packet Steering Mechanisms for MLO in Wi-Fi 7

Gianluca Cena, Matteo Rosani, Stefano Scanzio

Besides extremely high throughput, Wi-Fi 7 is also aimed at providing users a more deterministic behavior, characterized by shorter average latency and smaller jitters. A key mecha…

cs.NI2024★ 4 cited

Executable QR codes with Machine Learning for Industrial Applications

Stefano Scanzio, Francesco Velluto, Matteo Rosani +2

Executable QR codes, also known as eQR codes or just sQRy, are a special kind of QR codes that embed programs conceived to run on mobile devices like smartphones. Since the program…

cs.NI2024★ 2 cited

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…

cs.NI2024★ 3 cited

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…

cs.NI2024★ 4 cited

A Software Platform for Testing Multi-Link Operation in Industrial Wi-Fi Networks

Matteo Rosani, Gianluca Cena, Dave Cavalcanti +3

Multi-Link Operation (MLO) in Wi-Fi 7 is expected to tangibly boost throughput while lowering transmission latency at the same time. This is very relevant in industrial scenarios a…

cs.NI2024★ 4 cited

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…

cs.NI2024★ 1 cited

Research Directions and Modeling Guidelines for Industrial Internet of Things Applications

Giampaolo Cuozzo, Enrico Testi, Salvatore Riolo +9

The Industrial Internet of Things (IIoT) paradigm has emerged as a transformative force, revolutionizing industrial processes by integrating advanced wireless technologies into tra…

cs.NI2024★ 5 cited

QRscript: Embedding a Programming Language in QR codes to support Decision and Management

Stefano Scanzio, Gianluca Cena, Adriano Valenzano

Embedding a programming language in a QR code is a new and extremely promising opportunity, as it makes devices and objects smarter without necessarily requiring an Internet connec…

cs.NI2024

Multi-Link Operation and Wireless Digital Twin to Support Enhanced Roaming in Next-Gen Wi-Fi

Stefano Scanzio, Matteo Rosani, Gabriele Formis +4

The next generation of Wi-Fi is meant to achieve ultra-high reliability for wireless communication. Several approaches are available to this extent, some of which are being conside…

cs.NI2024★ 4 cited

QRtree -- Decision Tree dialect specification of QRscript

Stefano Scanzio, Matteo Rosani, Mattia Scamuzzi +1

This specification document specifies the syntax and semantics of QRtree, which is a specific dialect of QRscript particularly suited to represent decision trees without chance nod…

cs.NI2024★ 4 cited

QRscript specification

Stefano Scanzio, Matteo Rosani, Mattia Scamuzzi +1

This specification document specifies the syntax and semantics of QRscript. The current document only shows the part related to the QRscript header, i.e., the first part of the bin…

cs.NI2023★ 7 cited

Linear Combination of Exponential Moving Averages for Wireless Channel Prediction

Gabriele Formis, Stefano Scanzio, Gianluca Cena +1

The ability to predict the behavior of a wireless channel in terms of the frame delivery ratio is quite valuable, and permits, e.g., to optimize the operating parameters of a wirel…