• DocumentCode
    2035498
  • Title

    A Framework for Modeling, Simulation and Automatic Code Generation of Sensor Network Application

  • Author

    Mozumdar, Mohammad Mostafizur Rahman ; Gregoretti, Francesco ; Lavagno, Luciano ; Vanzago, Laura ; Olivieri, Stefano

  • Author_Institution
    Politec. di Torino, Torino
  • fYear
    2008
  • fDate
    16-20 June 2008
  • Firstpage
    515
  • Lastpage
    522
  • Abstract
    Showing functional correctness by simulation before implementation, and preserving it by automated code generation, is extremely useful to reduce the development time for an embedded application. This is even more true for wireless sensor networks, since their nodes often provide very rudimentary debugging facilities, and sufficiently large networks for realistic analysis may be expensive to deploy. While this approach, also known as model-based design, is becoming quite standard for several domains that have similar constraints as wireless sensor networks, such as automotive electronics, there is a lack of tools for this purpose in the WSN world. In order to fill this gap, in this paper we present a framework (based on Simulink, Stateflow and Embedded Coder) in which an engineer can create sensor network components (both at the application and at the protocol level) that can be used as building blocks to model, simulate and automatically generate code for different underlying platforms and operating systems.
  • Keywords
    codes; wireless sensor networks; automatic code generation; automotive electronics; model-based design; sensor network applications; wireless sensor networks; Application software; Automotive electronics; Automotive engineering; Debugging; Light emitting diodes; Microelectronics; Operating systems; Protocols; Sensor systems and applications; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks, 2008. SECON '08. 5th Annual IEEE Communications Society Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-1777-3
  • Electronic_ISBN
    978-1-4244-1776-6
  • Type

    conf

  • DOI
    10.1109/SAHCN.2008.68
  • Filename
    4557791