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RFID-Based Multi-level Sensing Network for Industrial Internet of Things

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New Advances in the Internet of Things

Part of the book series: Studies in Computational Intelligence ((SCI,volume 715))

Abstract

A wireless sensor network fully based on battery-less radio frequency identification (RFID) devices is here proposed for application to the emerging Industrial Internet of Things. The hierarchical structure of the network enables a multi-level monitoring of complex spaces hosting industrial equipments. A multi-antenna configuration permits to select the zones of the space to be monitored while custom RFID boards, capable to host several kinds of sensors, permit to capture both environmental parameters (e.g., temperature, humidity, and light) and the human interaction with things. The system provides the real-time detection of a plethora of complex events ranging from critical environmental accidents, up to the (un)authorized access to a critical area and the tampering/overloading of equipments. The potential of the proposed sensor network is finally demonstrated through an application to the monitoring of a real electrical secondary substation cabin.

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Acknowledgements

The work was supported by SCISSOR ICT project no. 644425, funded by the European Commissions Information and Communication Technology H2020 Framework Program.

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Authors and Affiliations

  1. RADIO6ENSE S.r.l, Rome, Italy

    S. Amendola, C. Occhiuzzi, S. Manzari & G. Marrocco

  2. Pervasive Electromagnetic Lab, University of Roma Tor Vergata, Rome, Italy

    S. Amendola & G. Marrocco

Authors
  1. S. Amendola
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  2. C. Occhiuzzi
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  3. S. Manzari
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  4. G. Marrocco
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Corresponding author

Correspondence to C. Occhiuzzi .

Editor information

Editors and Affiliations

  1. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

  2. Department of Computer Science , Oviedo University, Oviedo, Spain

    Jordán Pascual Espada

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Amendola, S., Occhiuzzi, C., Manzari, S., Marrocco, G. (2018). RFID-Based Multi-level Sensing Network for Industrial Internet of Things. In: Yager, R., Pascual Espada, J. (eds) New Advances in the Internet of Things. Studies in Computational Intelligence, vol 715. Springer, Cham. https://doi.org/10.1007/978-3-319-58190-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-58190-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58189-7

  • Online ISBN: 978-3-319-58190-3

  • eBook Packages: EngineeringEngineering (R0)

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