• DocumentCode
    498749
  • Title

    SENESCOPE: A design tool for cost optimization of wireless sensor nodes

  • Author

    Niedermayer, M. ; Richter, C. ; Hefer, J. ; Guttowski, S. ; Reichl, H.

  • Author_Institution
    Dept. Syst. Design & Integration, Fraunhofer Inst. for Reliability & Microintegration, Berlin, Germany
  • fYear
    2009
  • fDate
    13-16 April 2009
  • Firstpage
    313
  • Lastpage
    324
  • Abstract
    The market of wireless sensor networks is permanently growing due to the declining costs of sensor nodes. This paper presents a new approach for the hardware design of sensor networks based on a multi-criteria cost optimization by means of evolutionary algorithms. During an automated selection procedure of several implementation variants, not only expenditures for development and fabrication are considered, but also additional objectives like time to market or process complexity. A design tool was realized in order to support the development of very cost-efficient sensor networks. The integration of specific cost models allows the designer to identify the appropriate architecture variants and technology options. The verification of the design tool resulted in valuable knowledge about sensor nodes especially for specific application scenarios. A prototype for condition monitoring was designed and discussed regarding options for cost optimization.
  • Keywords
    evolutionary computation; wireless sensor networks; cost optimization; cost-efficient sensor network; evolutionary algorithm; hardware design; process complexity; wireless sensor network; Algorithm design and analysis; Appropriate technology; Cost function; Design optimization; Evolutionary computation; Fabrication; Hardware; Prototypes; Time to market; Wireless sensor networks; Wireless sensor systems; cost modeling; cost optimization; design methodology; hetero system integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-5108-1
  • Electronic_ISBN
    978-1-60558-371-6
  • Type

    conf

  • Filename
    5211919