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Mobility Support and Service Discovery for Industrial Process Monitoring

  • Tuan DangEmail author
  • Pascale Minet
  • Patrick Bellot
  • Christophe Mozzati
  • Erwan Livolant
Chapter
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Part of the Studies in Big Data book series (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.

Keywords

Sensor Node Wireless Sensor Network Static Node Mobile Node Service Oriented Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

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

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Tuan Dang
    • 1
    Email author
  • Pascale Minet
    • 2
  • Patrick Bellot
    • 3
  • Christophe Mozzati
    • 4
  • Erwan Livolant
    • 2
  1. 1.EDF R&D Lab, STEP DepartmentChatou CedexFrance
  2. 2.InriaParisFrance
  3. 3.LTCI, Télécom ParisTech, Université Paris-SaclayParisFrance
  4. 4.PredictVandoeuvre-les-nancyFrance

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