Special Session 2

The importance of distributed measurement systems is increasing. The use of the IoT paradigm can be successfully applied to metrology as demonstrated by recent advances of Industry 4.0. In particular, industrial communications are facing the leap forward made by new generation wireless technologies, such as WiFi6, 5G, LPWANs and more. The diversified performance and tradeoffs they offer, mainly derived from the rapid change in consumer market needs, are moving an increasing number of (innovative) industrial applications into the wireless domain. For instance, think about mobile robots and UAVs, nowadays widely used in factories, that require modern distributed systems to include wireless links to connect the IIoT backends via intelligent edge devices, in terms of seamless, standardized and transparent device integration.
However, the appealing possibilities these technologies provide, also pose many challenges, that must be addressed by the research. Scenarios where sensors and instruments are deployed on a wide area, or on mobile systems, remain extremely challenging due to the unreliability and unpredictability intrinsic in wireless links. Security is another main concern.
In particular, research activity is required for optimizing the overall network performance in agreement with the actual application requirements, e.g., in terms of timeliness, determinism, energy consumption, and data extraction rate. For instance, innovative Machine Learning (ML) techniques, possibly applied to software defined / cognitive radios, can be exploited for dynamically adapting communication parameters.
This special session aims to bring together academic and industry professionals to a session where the most recent studies, implementations, and proposals about the issues mentioned above can be presented and discussed.

Submissions are welcomed on (but not limited to):

• LPWAN systems for measurements;
• Short range wireless networks for measurement applications (e.g., wireless sensor networks leveraging Wi-Fi, Bluetooth LE and/or IEEE802.15.4);
• 5G/4G mobile communications for measurements applications;
• In Vehicle and V2X wireless measurement systems;
• Wireless applications for continuous tracking of product data after-sale (digital twin);
• Distributed and mobile IoT measurement devices and systems;
• Safety and security issues in distributed and mobile IoT measurement devices and systems;
• Wireless measurement systems for smart environments (e.g., smart industries, buildings and cities);
• Large scale deployment of wireless sensors (e.g. environment monitoring, localization, fire detection);
• Applications of wireless measurement solutions to large process plants in Industry;
• Cloud architecture to manage scalable measurement systems and measurement data platform in large deployment scenario;
• Recent advances in research domains with similar communication requirements.

Emiliano Sisinni obtained the M.Sc. degree in electronic engineering in 2000 at the University of Brescia. In 2004, he got the Ph.D. in “Electronic Instrumentation” at the same University. He is currently a Full Professor with the Department of Information Engineering at the University of Brescia. He was guest professor at Mid Sweden University for the AYs 2016/2017-2020/2021. His main research topic is the development and the performance evaluation of digital networks for industrial communications, with particular attention to wireless solutions. He has also been involved in the development of digital signal processing of sensory data based on microcontrollers, DSPs and FPGAs. Since 2008 he seats in the committee SC65C - WG16 and WG17 and the TC65C - WG 17 of the IEC (International Electrotechnical Commission).

Federico Tramarin received the Dr. Eng. degree in electronic engineering, and the Ph.D. degree in information engineering from the University of Padova, Italy, in 2008 and 2012, respectively. Currently, he is an Associate Professor with the “Enzo Ferrari” Engineering Department, University of Modena and Reggio Emilia, Italy. His current research interests involve performance analysis and measurements on network systems, sensor network systems for distributed measurements applied to industrial automation systems, with a focus on Internet of Things for smart measurement systems. Prof. Tramarin currently serves in the Editorial Board of several renowned international journals. He is a member of the IEEE Industrial Electronics Society (IES) Technical Committee on Factory Automation, and the Instrumentation and Measurement Society (IMS) Technical Committee on Measurement and Networking. He was also actively involved in the standardization activities of the IEEE 61158 standard for industrial hard real-time communication.

Diego Silva is an Associate Professor at the Federal University of Rio Grande do Norte. He has experience in Computer Engineering, with emphasis on Industrial Automation, where he has been developing projects for the Brazilian industry since 2003 in various topics such as alarm management, connectivity and industrial protocols, asset management and data visualization. In addition, he has also been involved in technological development projects in the areas of education and building automation. His interests include Industry 4.0, IoT, IIot, signal processing, big data, cloud computing, among others. He did postdoctoral studies at the University of Southern California between 2015 and 2016, where he delved into the subject of Digital Signal Processing in Graphs and he was an official Visiting Professor to the University of Brescia in 2018.