• DocumentCode
    2860593
  • Title

    SPINE2: developing BSN applications on heterogeneous sensor nodes

  • Author

    Fortino, Giancarlo ; Guerrieri, Antonio ; Bellifemine, Fabio L. ; Giannantonio, Roberta

  • Author_Institution
    Dept. of Electron., Inf., & Syst. (DEIS), Univ. of Calabria, Rende, Italy
  • fYear
    2009
  • fDate
    8-10 July 2009
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    Body sensor networks (BSNs) have great potential to enable a broad variety of assisted living applications such as health and activity monitoring, and emergency detection. Although several effective application development frameworks already exist for BSNs based on specific sensor platforms (e.g. CodeBlue, SPINE, Titan), effective methods for the platform-independent development of BSN applications are still missing. Such methods would enable rapid development of multi-platform applications and fast application porting from one platform to another. In this paper, we present SPINE2, an evolution of SPINE, which aims at reaching a very high platform independency and raising the level of the used programming abstractions by providing a task-oriented programming model. Furthermore, SPINE2 is exemplified through a case study related to human activity monitoring.
  • Keywords
    body area networks; patient monitoring; wireless sensor networks; CodeBlue; SPINE2; Titan; body sensor networks; health monitoring; heterogeneous sensor nodes; human activity monitoring; platform independency; programming abstractions; Biomedical informatics; Biomedical monitoring; Body sensor networks; Collaboration; Genetic programming; Humans; Middleware; Prototypes; Sensor systems and applications; Wireless sensor networks; Body sensor networks; heterogeneous sensor platforms; human activity monitoring; task-oriented programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Embedded Systems, 2009. SIES '09. IEEE International Symposium on
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-4109-9
  • Electronic_ISBN
    978-1-4244-4110-5
  • Type

    conf

  • DOI
    10.1109/SIES.2009.5196205
  • Filename
    5196205