• DocumentCode
    548596
  • Title

    Android/OSGi-based Machine-to-Machine context-aware system

  • Author

    Kuna, Matko ; Kolaric, Hrvoje ; Bojic, Iva ; Kusek, Mario ; Jezic, Gordan

  • Author_Institution
    Dept. of Telecommun., Univ. of Zagreb, Zagreb, Croatia
  • fYear
    2011
  • fDate
    15-17 June 2011
  • Firstpage
    95
  • Lastpage
    102
  • Abstract
    This paper presents a context-aware system that uses Machine-to-Machine communication to retrieve sensor data collected by an Android operating system smartphone. It uses the eXtensible Messaging and Presence Protocol for communication with a remote server where data are stored, while both ends are implemented in the Open Service Gateway initiative framework providing system modularity and portability. Although our system is designed as a generic system that can be easily applicable for various monitoring purposes or on-event reactions, its functionality has been evaluated by implementing an environment-variables monitoring application used in industrial sectors. The case study presented in this paper elaborates a context-aware application in terms of monitoring and alarming functions. In our case study Android devices are used for communication purposes and monitoring environment parameters in order to track context data and react to it.
  • Keywords
    environmental monitoring (geophysics); internetworking; mobile handsets; network servers; operating systems (computers); protocols; ubiquitous computing; Android operating system smartphone; context-aware system; environment-variable monitoring application; extensible messaging and presence protocol; machine-to-machine communication; open service gateway initiative framework; remote server; sensor data retrieve; Androids; Context; Humanoid robots; Monitoring; Object oriented modeling; Operating systems; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (ConTEL), Proceedings of the 2011 11th International Conference on
  • Conference_Location
    Graz
  • Print_ISBN
    978-1-61284-169-4
  • Electronic_ISBN
    978-3-85125-161-6
  • Type

    conf

  • Filename
    5969915