• DocumentCode
    3493572
  • Title

    WISDOM: a visual development framework for multi-platform wireless sensor networks

  • Author

    Vieira, Luiz F M ; Vitorino, Breno A D ; Vieira, Marcos A M ; Silva, Diogenes C. ; Fernandes, Antônio O. ; Loureiro, Antnio Alfredo F

  • Author_Institution
    Comput. Sci. Dept., Univ. Fed. de Minas Gerais, Belo Horizonte
  • Volume
    2
  • fYear
    2005
  • fDate
    19-22 Sept. 2005
  • Lastpage
    534
  • Abstract
    Through a new computing paradigm, the wireless sensor networks revolutionize the environment monitoring, enabling applications in a wide range of knowledge areas. However, the process of creating these applications for these networks is still not simple, depending on the target operating system and hardware. In order to fill this gap, we developed a new programming model and a framework able to generate the application source code for a user-chosen computing platform, based on a modular specification. This novel approach is easy to program and allows the generated code to be efficient, as efficiency is a paramount requirement due to severe restrictions on WSN. Two case studies are described demonstrating the potential of the framework to help software developers
  • Keywords
    formal specification; network operating systems; visual programming; wireless sensor networks; WISDOM; application source code; environment monitoring; modular specification; multiplatform wireless sensor network; operating system; user-chosen computing platform; visual development framework; Abstracts; Application software; Computer networks; Computer science; Computerized monitoring; Concurrent computing; Hardware; Operating systems; Software design; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-9401-1
  • Type

    conf

  • DOI
    10.1109/ETFA.2005.1612721
  • Filename
    1612721