The Internet of Things (IoT) Lab ( coordinates activities and research collaborations, in context of innovative IoT-oriented communication and processing systems, with companies, universities, and agencies, both national and international. The IoT Lab is formed by a few young researchers (PhD students, research associates, post-docs, researchers), together with several Masters’ students and other collaborating Faulty members. The current research activities focus on four main interwoven research areas: (i) signal processing, (ii) advanced communication and networking, (iii) Internet of Things and smart systems; (iv) data analysis, also based on the use of artificial intelligence (AI) techniques. Interdisciplinarity is a key principle of all research activities of the IoT Lab and the goal of the IoT Lab is move from theory to practice. The IoT Lab has carried out projects for over 4 M€. Illustrative institutional partners are: European Commission (H2020: AFarCloud, InSecTT, ADACORSA, NextPerception; FP7: CALIPSO), MIUR/MUR (CRIMSON, AFarCloud, ADACORSA, NextPerception), MISE (X-NETAD, InSecTT), Regione Emilia-Romagna (AgrIoT). Companies which have been collaborating with the IoT Lab over the years include: Cisco Systems Inc. (USA), Finmeccanica-Leonardo (Italy), Elettric80 (Italy), Huawei Technologies (Germany and China), Istituto Auxologico Italiano (Italy), Wegh Group (Italy), BOSCH Service Solutions (Italy), UnipolSai (Italy), Argotractors (Italy), GlaxoSmithKlyne (Italy), Selta (Italy), and others. The equipment of the IoT lab is composed by more than 150+ IoT/edge nodes supporting heterogeneous connectivity and sensing capabilities.

Recent Research Projects

  • GreenIoT:  innovative technologies and techniques for the design and implementation of large scale and high energy efficient IoT systems.
    • 2022-2024
    • Ministero dell’Univesità e Ricerca, PhD Scholarship on Asse IV “Istruzione e ricerca per il recupero” –Azione IV.5 – “Dottorati su tematiche Green del PON R&I 2014-2020”.
  • Intelligent Secure Trustable Things (InSecTT)
  • Airborne DAta COllection on Resilient System Architectures (ADACORSA)
  • Next generation smart perception sensors and distributed intelligence for proactive human monitoring in health, wellbeing, and automotive systems (NextPerception)
  • Cyber-physical systems for safety in production plants with high accident risk with integration of people/objects localization technologies and distributed sensing systems (CP-SEC)
    • 2020-2022
    • Istituto Nazionale contro gli Infortuni sul Lavoro (INAIL), Bando Ricerche In Collaborazione (BRIC 2019), Piano Attività di ricerca 2019-2021, TEMATICA ID 2 “Approcci integrati e metodologie innovative per la prevenzione del fenomeno infortunistico anche attraverso l’analisi dei “near miss””.
  • Design and implementation of 5G-based vehicular communication systems
  • Design and implementation of a smart gateway
  • IoT-based Systems for Efficient Data Collection and Processing in Smart and Sustainable Agriculture (AgrIoT)
    • 2018-2021
    • With Regione Emilia-Romagna (
    • PhD scholarship associated with the three-year regional plan for the development of high competences for research, technology transfer and entrepreneurship.
  • Design and implementation of advanced algorithms for predictive maintenance
  • Aggregate Farming in the Cloud (AFarCloud)
  • Multi-interface IoT sYstems for Multi-layer Information Processing (MIoTYMIP)
    • 2018-2021
    • Three-year support, based on an open call of the University of Parma, for the financial support of renewable 1-year scholarship (“Assegno di Ricerca”).
  • Active audio noise cancellation
  • Design and implementation of applications for 5G systems
  • Outdoor/indoor localization in 5G systems
    • 2018-2020
    • Collaboration with Huawei (, through Huawei Innovation Research Program (HIRP)
    • Ricerca finanziata da privati
  • Body sensor network (BSN)-based monitoring and analysis of Parkinsonians

Selected publications

  1. L. Davoli and G. Ferrari (Eds.), Wireless Mesh Networks for IoT and Smart Cities: Technologies and Applications, IET, London, UK: 2021-2022 (expected). ISBN: 978-1-83953-282-5. eISBN: 978-1-83953-283-2.
  2. Simone Cirani; Gianluigi Ferrari; Marco Picone; Luca Veltri; “Internet of Things: Architectures, Protocols and Standards,” John Wiley & Sons, 2018, ISBN: 9781119359678.
  3. Chiara Buratti; Marco Martalò; Roberto Verdone; Gianluigi Ferrari; “Sensor Networks with IEEE 802.15.4 Systems: Distributed Processing, MAC, and Connectivity,” Springer-Verlag, Heidelberg, Germany, 2011, ISBN: 9783642174896.
  4. M. Martalò, S. Perri, G. Verdano, F. De Mola, F. Monica and G. Ferrari, “Improved UWB TDoA-based positioning using a single hotspot for industrial IoT applications,” in IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 3915-3925, June 2022, doi: 10.1109/TII.2021.3111449.
  5. Luca Davoli; Emanuele Pagliari; Gianluigi Ferrari; “Hybrid LoRa-IEEE 802.11s Opportunistic Mesh Networking for Flexible UAV Swarming,” Drones, 5 (2), 2021.
  6. Gaia Codeluppi; Luca Davoli; Gianluigi Ferrari; “Forecasting Air Temperature on Edge Devices with Embedded AI,” Sensors, 21 (12), pp. 1-29, 2021.
  7. Luca Davoli; Ioannis Paraskevopoulos; Cinzia Campanella; Stefano Bauro; Tommaso Vio; Andrea Abrardo; Gianluigi Ferrari; “Ultrasonic-Based Environmental Perception for Mobile 5G-Oriented XR Applications,” Sensors, 21 (4), pp. 1329, 2021.
  8. Gaia Codeluppi; Antonio Cilfone; Luca Davoli; Gianluigi Ferrari; “LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture”, Sensors, 20 (7), 2020.
  9. D. Serpanos, G. Ferrari, G. Nikolakopoulos, J. Perez, M. Tauber, and S. Van Baelen, “Embedded Artificial Intelligence: the ARTEMIS vision,” IEEE Computer, vol. 53, no. 11, November 2020, pp. 65-69. DOI:10.1109/MC.2020.3016104.
  10. Luca Davoli; Marco Martalò; Antonio Cilfone; Laura Belli; Gianluigi Ferrari; Roberta Presta; Roberto Montanari; Maura Mengoni; Luca Giraldi; Elvio G. Amparore; Marco Botta; Idilio Drago; Giuseppe Carbonara; Andrea Castellano; Johan Plomp; “On Driver Behavior Recognition for Increased Safety: A Roadmap,” Safety, 6 (4), pp. 1-33, 2020.
  11. L. Belli, A. Cilfone, L. Davoli, G. Ferrari, P. Adorni, F. Di Nocera, A. Dall'Olio, C. Pellegrini, M. Mordacci, and E. Bertolotti, “IoT-enabled smart sustainable cities: challenges and approaches,” Smart Cities, vol. 3, no. 3, pp. 1039-1071, 2020. DOI: 10.3390/smartcities3030052.
  12. Laura Belli; Antonio Cilfone; Luca Davoli; Gianluigi Ferrari; Paolo Adorni; Francesco Di Nocera; Alessandro Dall'Olio; Cristina Pellegrini; Marco Mordacci; Enzo Bertolotti; “IoT-Enabled Smart Sustainable Cities: Challenges and Approaches,” Smart Cities, 3, pp. 1039-1071, 2020.
  13. Riccardo Monica; Luca Davoli; Gianluigi Ferrari; “A Wave-Based Request-Response Protocol for Latency Minimization in WSNs,” IEEE Internet of Things Journal, 6 (5), pp. 7971-7979, 2019.
  14. Laura Belli; Luca Davoli; Alice Medioli; Pier Luigi Marchini; Gianluigi Ferrari; “Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory,” Frontiers in ICT, 6, pp. 17, 2019.
  15. Antonio Cilfone; Luca Davoli; Laura Belli; Gianluigi Ferrari; “Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies,” Future Internet, 11 (4), 2019.
  16. Luca Davoli; Antonio Cilfone; Laura Belli; Gianluigi Ferrari; “Design and experimental performance analysis of a B.A.T.M.A.N.-based double Wi-Fi interface mesh network,” Future Generation Computer Systems, 92, pp. 593-603, 2019.
  17. Srinivas Nallagonda; Sanjay Dhar Roy; Sumit Kundu; Gianluigi Ferrari; Riccardo Raheli; “Censoring-Based Cooperative Spectrum Sensing with Improved Energy Detectors and Multiple Antennas in Fading Channels,” IEEE Transactions on Aerospace and Electronic Systems, 54 (2), pp. 537–553, 2018.
  18. Luca Davoli; Laura Belli; Antonio Cilfone; Gianluigi Ferrari; “From Micro to Macro IoT: Challenges and Solutions in the Integration of IEEE 802.15.4/802.11 and Sub-GHz Technologies,” IEEE Internet of Things Journal, 5 (2), pp. 784-793, 2018.
  19. Luca Davoli; Laura Belli; Luca Veltri; Gianluigi Ferrari; “THORIN: an Efficient Module for Federated Access and Threat Mitigation in Big Stream Cloud Architectures,” IEEE Cloud Computing, 5 (1), pp. 38-48, 2018.
  20. M. Amoretti, O. Alphand, G. Ferrari, F. Rousseau, and A. Duda, “DINAS: a lightweight and efficient distributed naming service for all-IP wireless sensor networks”, IEEE Internet of Things Journal, vol. 4, no. 3, pp. 670-684, June 2017. DOI: 10.1109/JIOT.2016.2640317.
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