• DocumentCode
    2561730
  • Title

    Discrete Probabilistic DV-Hop: Reengineering high accuracy range-free WSN localization

  • Author

    Nia, Morteza Shahriari ; Khaxar, Mohsen ; Rashti, Seyed Mahdi ; Charkari, Nasrollah Moghadam

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
  • fYear
    2009
  • fDate
    12-14 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    One of the most important aspects of a WSN is its localization scheme. Adequate accuracy, complexity, timing, and vulnerability to environment pitfalls are all worth considering parameters. Here, we propose discrete probabilistic DV-Hop, an enhancement to DV-Hop, a well-known range-free WSN localization algorithm, aiming to improve both its localization accuracy and complexity. One should note that DV-Hop is a range-free initial position estimator and can be accompanied with other refinement algorithms to farther improve its localization accuracy. Extensive simulations show that the proposed algorithm, although with reduced complexity, usually sticks to the same localization accuracy as DV-Hop and sometimes even outperforms it. The best accuracy achievable is 1/5 of radio range, with much less vulnerability to topological features than DV-Hop.
  • Keywords
    communication complexity; probability; telecommunication network topology; wireless sensor networks; discrete probabilistic DV-Hop; range-free WSN localization algorithm; range-free initial position estimator; topological features; Accuracy; Costs; Global Positioning System; Hardware; Humidity measurement; Noise measurement; Phase estimation; Sensor systems and applications; Timing; Wireless sensor networks; Discrete probabilistic; Localization; Range free; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4244-3942-3
  • Electronic_ISBN
    978-1-4244-3941-6
  • Type

    conf

  • DOI
    10.1109/ICUMT.2009.5345583
  • Filename
    5345583