• DocumentCode
    728849
  • Title

    An adaptive indoor positioning algorithm for ZigBee WSN

  • Author

    Alhmiedat, Tareq

  • Author_Institution
    Dept. of Inf. Technol., Tabuk Univ., Tabuk, Saudi Arabia
  • fYear
    2015
  • fDate
    20-22 May 2015
  • Firstpage
    51
  • Lastpage
    55
  • Abstract
    The areas of positioning and tracking through Wireless Sensor Network (WSN) have received considerable attention recently driven by the requirement to obtain high positioning accuracy with minimum cost possible. A wide range of proposed approaches regarding the positioning area have emerged, however most of them suffer from either requiring an extra sensor, high power consumption, inaccessible indoors, or offer high positioning error. This paper presents a research and development of an adaptive positioning system for ZigBee WSN based on the Received Signal Strength (RSS) system. The proposed system is an efficient positioning system in both indoors and outdoors, where it offers reasonable positioning accuracy (0.1 - 0.6) meters, and achieves low power consumption. The proposed system has been validated through a number of real experiments using XBee modules.
  • Keywords
    RSSI; Zigbee; indoor navigation; power consumption; telecommunication power management; wireless sensor networks; RSS system; XBee modules; ZigBee WSN; adaptive indoor positioning algorithm; positioning accuracy; power consumption; received signal strength system; wireless sensor network; Accuracy; Mobile communication; Power demand; Robot sensing systems; Target tracking; Wireless sensor networks; Zigbee; Wireless Sensor Network (WSN); ZigBee; localization; positioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2015 Fifth International Conference on
  • Conference_Location
    Galcia
  • Type

    conf

  • DOI
    10.1109/INTECH.2015.7173480
  • Filename
    7173480