• DocumentCode
    3290549
  • Title

    Wireless mesh and sensor networking for onboard event detection and video alarm transmission for BOSS project

  • Author

    Gatin, O. ; Malouch, N. ; Barro, A.

  • Author_Institution
    SNCF, Paris, France
  • fYear
    2009
  • fDate
    20-22 Oct. 2009
  • Firstpage
    492
  • Lastpage
    497
  • Abstract
    In the context of the EUREKA CELTIC BOSS project, this paper describes how different mesh networks are used inside commuter trains in order to enhance security of passengers through automatic abnormal event detection and alarm transmission. Several technologies of mesh networks have been considered for indoor train coverage: wireless sensor networks for event detection based on low-power sensors and WiFi-based mesh for video and alerts transmission to the controllers. Coverage studies have been carried out in French commuter trains using these various technologies. Results show that it is efficient to send alarms using a full wireless infrastructure. However, for video transmission new algorithms to increase data rates and fairness are needed. Besides, wireless sensor networks were also integrated in the project final demonstration performed on an operational train.
  • Keywords
    security; video communication; wireless LAN; wireless sensor networks; EUREKA CELTIC BOSS project; French commuter trains; WiFi-based mesh; alerts transmission; automatic abnormal event detection; low-power sensors; onboard event detection; passenger security; sensor networking; video alarm transmission; video transmission; wireless infrastructure; wireless mesh networking; wireless sensor networks; Event detection; Wireless sensor networks; Mesh networks; Rail transportation; Wireless communications; autoconfiguration; fairness; low-power systems; redundancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transport Systems Telecommunications,(ITST),2009 9th International Conference on
  • Conference_Location
    Lille
  • Print_ISBN
    978-1-4244-5346-7
  • Electronic_ISBN
    978-1-4244-5347-4
  • Type

    conf

  • DOI
    10.1109/ITST.2009.5399305
  • Filename
    5399305