• DocumentCode
    3577211
  • Title

    Global-Scale Federated Access to Smart Objects Using XMPP

  • Author

    Schuster, Daniel ; Grubitzsch, Philipp ; Renzel, Dominik ; Koren, Istvan ; Klauck, Ronny ; Kirsche, Michael

  • Author_Institution
    Comput. Networks Group, Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2014
  • Firstpage
    185
  • Lastpage
    192
  • Abstract
    Communication with smart objects currently only works in isolated, sometimes even proprietary islands. This lack of interoperability limits the value of smart objects connected to the Internet of Things (IoT). We propose to use the Extensible Messaging and Presence Protocol (XMPP) to connect IoT islands. XMPP is inherently federated, secure, globally scalable and designed for collaboration. We use XMPP Multi-User Chat (MUC) to build a secure and accessible platform for sensor data exchange between organizations. We demonstrate a scenario of three distributed and interconnected XMPP-driven sites, whereas different client types access sensor data from all sites. Our evaluation results confirm that the architectural pattern presented in this work can easily be used in any XMPP-based system without the need to enhance or to extend the standards.
  • Keywords
    Internet of Things; XML; computer network security; electronic data interchange; electronic messaging; middleware; open systems; protocols; wireless sensor networks; Internet-of-things; IoT; XMPP multiuser chat; client types; distributed XMPP-driven sites; extensible messaging-and-presence protocol; global-scale federated access; interconnected XMPP-driven sites; interoperability limits; sensor data exchange; smart objects; Access control; Educational institutions; Internet of things; Libraries; Protocols; Servers; Standards; Federation; Internet of Things; XMPP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.35
  • Filename
    7059660