• DocumentCode
    600018
  • Title

    Classification of localization algorithms for wireless sensor network: A survey

  • Author

    Nazir, U. ; Arshad, M.A. ; Shahid, N. ; Raza, S. Hussain

  • fYear
    2012
  • fDate
    20-22 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Localization is an active field of research in wireless sensor networks WSNs. The information of exact physical location of the sensor nodes in WSNs is useful for various application e.g. intrusion detection, target tracking, environmental monitoring and network services etc. In this paper we present the classification and comparative study of localization algorithms. The goal of our consideration is to analyze, how these localization algorithms work in order to increase the life span of network nodes in harsh environments like oil fields, gas fields, forests, chemical factories and underground mines etc. and how to find the position of mobile node with Distributed, Range-based and Beacon-based Localization technique in harsh environments. Furthermore this paper also highlights some issues experienced by these localization techniques.
  • Keywords
    pattern classification; sensor placement; wireless sensor networks; WSN; beacon-based localization technique; chemical factory; distributed localization technique; environmental monitoring; forest; gas field; intrusion detection; localization algorithm classification; network node life span; network service; oil field; range-based localization technique; sensor node; target tracking; underground mine; wireless sensor network; Classification algorithms; Conferences; Hardware; Mobile nodes; Routing; Wireless sensor networks; beacon based and free algorithm; centralized and distributed algorithm; localization; range free and range based algorithm; sensor node; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Source Systems and Technologies (ICOSST), 2012 International Conference on
  • Conference_Location
    Lahore
  • Print_ISBN
    978-1-4673-3094-7
  • Type

    conf

  • DOI
    10.1109/ICOSST.2012.6472830
  • Filename
    6472830