78 citations · 285 across the 35 of their papers we have counts for
32 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Seamless Redundancy for High Reliability Wi-Fi
Gianluca Cena, Stefano Scanzio, Dave Cavalcanti +1
By removing wire harness, Wi-Fi is becoming increasingly pervasive in every aspect of our lives, in both the consumer and industrial worlds. Besides flexibility, the recent high ef…
Composite CAN XL-Ethernet Networks for Next-Gen Automotive and Automation Systems
Gianluca Cena, Stefano Scanzio, Adriano Valenzano
New generation electrified and self-driving vehicles require much higher performance and flexibility for onboard digital communications than Controller Area Networks may offer. For…
Predicting Wireless Channel Quality by means of Moving Averages and Regression Models
Gabriele Formis, Stefano Scanzio, Gianluca Cena +1
The ability to reliably predict the future quality of a wireless channel, as seen by the media access control layer, is a key enabler to improve performance of future industrial ne…