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Mobility Support and Service Discovery for Industrial Process Monitoring

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Internet of Things: Novel Advances and Envisioned Applications

Part of the book series: Studies in Big Data ((SBD,volume 25))

Abstract

A service-oriented architecture designed for the use of wireless sensors networks (WSN) in industrial applications such as the operation and maintenance of industrial installations is presented in this chapter. This architecture comprises the OCARI wireless sensor network and the OPC-UA/ROSA middleware, as well as the KASEM predictive maintenance system. In contrast to well-known communication stacks for wireless sensor networks such as ZigBee and WirelessHart, OCARI has been designed to support mobility of sensor nodes. Furthermore, the OPC-UA/ROSA middleware provides service discovery to enable the interconnection of the WSN with the Internet of Things (IoT). This architecture targets various industrial applications such as process monitoring, pollutant detection, monitoring of fuel storage area, fire detection in temporary worksites, health monitoring of people working in hazardous conditions, etc.

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Acknowledgements

We would like to thank our partners in the CONNEXION project (www.cluster-connexion.fr).

Author information

Authors and Affiliations

  1. EDF R&D Lab, STEP Department, 6, Quai Watier - BP 49, 78401, Chatou Cedex, France

    Tuan Dang

  2. Inria, 2 Rue Simone Iff, 75012, Paris, France

    Pascale Minet & Erwan Livolant

  3. LTCI, Télécom ParisTech, Université Paris-Saclay, 75013, Paris, France

    Patrick Bellot

  4. Predict, 19 Avenue de la Foret de Haye, 54519, Vandoeuvre-les-nancy, France

    Christophe Mozzati

Authors
  1. Tuan Dang
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  2. Pascale Minet
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  3. Patrick Bellot
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  4. Christophe Mozzati
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  5. Erwan Livolant
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Corresponding author

Correspondence to Tuan Dang .

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Editors and Affiliations

  1. School of Computer Science and Engg., VIT University School of Computer Science and Engg., Vellore, India

    D. P. Acharjya

  2. Department of Computer Science and Engineering, Annamalai University Faculty of Engineering and Technology, Chidambaram, India

    M. Kalaiselvi Geetha

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Dang, T., Minet, P., Bellot, P., Mozzati, C., Livolant, E. (2017). Mobility Support and Service Discovery for Industrial Process Monitoring. In: Acharjya, D., Geetha, M. (eds) Internet of Things: Novel Advances and Envisioned Applications. Studies in Big Data, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-53472-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-53472-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53470-1

  • Online ISBN: 978-3-319-53472-5

  • eBook Packages: EngineeringEngineering (R0)

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