• DocumentCode
    717017
  • Title

    A data annotation architecture for semantic applications in virtualized wireless sensor networks

  • Author

    Khan, Imran ; Jafrin, Rifat ; Errounda, Fatima Zahra ; Glitho, Roch ; Crespi, Noel ; Morrow, Monique ; Polakos, Paul

  • Author_Institution
    Inst. Mines-Telecom, Telecom SudParis, Evry, France
  • fYear
    2015
  • fDate
    11-15 May 2015
  • Firstpage
    27
  • Lastpage
    35
  • Abstract
    Wireless Sensor Networks (WSNs) have become very popular and are being used in many application domains (e.g. smart cities, security, gaming and agriculture). Virtualized WSNs allow the same WSN to be shared by multiple applications. Semantic applications are situation-aware and can potentially play a critical role in virtualized WSNs. However, provisioning them in such settings remains a challenge. The key reason is that semantic applications´ provisioning mandates data annotation. Unfortunately it is no easy task to annotate data collected in virtualized WSNs. This paper proposes a data annotation architecture for semantic applications in virtualized heterogeneous WSNs. The architecture uses overlays as the cornerstone, and we have built a prototype in the cloud environment using Google App Engine. The early performance measurements are also presented.
  • Keywords
    telecommunication computing; virtualisation; wireless sensor networks; Google App Engine; data annotation architecture; performance measurements; semantic applications; virtualized heterogeneous WSNs; virtualized wireless sensor networks; Cities and towns; Monitoring; Ontologies; Semantics; Temperature sensors; Virtualization; Wireless sensor networks; Data Annotation; Domain Ontologies; Overlays; Semantic Web; WSN Virtualization; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM), 2015 IFIP/IEEE International Symposium on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/INM.2015.7140273
  • Filename
    7140273