• DocumentCode
    2944427
  • Title

    SNDT: A genetic algorithm-based protocol selection tool for wireless network design

  • Author

    Fan, Jin ; Parish, David J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
  • fYear
    2009
  • fDate
    10-12 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    There is a growing need for tools that could help Wireless Network system designers in selection of different protocols before a practical network deployment. A Genetic Algorithm(GA)-based Sensor Network Design Tool(SNDT) is proposed in this work for wireless sensor network design in terms of performance, considering application-specific requirements, deployment constrains and energy characteristics. SNDT relies on offline simulation analysis to help resolve design decisions and could be applied to other types of wireless network. A GA is used as the optimization tool of the proposed system and an appropriate fitness function is derived to incorporate many aspects of network performance. The configuration attributes optimized by SNDT comprise the communication protocol selection and the number of nodes deployed in a fixed area.
  • Keywords
    genetic algorithms; protocols; wireless sensor networks; SNDT; communication protocol selection; fitness function; genetic algorithm-based protocol selection tool; optimization tool; sensor network design tool; wireless network design; wireless sensor network design; Algorithm design and analysis; Gallium; Genetic algorithms; Measurement; Optimization; Protocols; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Wireless Systems (UKIWCWS), 2009 First UK-India International Workshop on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4577-0182-5
  • Type

    conf

  • DOI
    10.1109/UKIWCWS.2009.5749424
  • Filename
    5749424