• DocumentCode
    2367379
  • Title

    RDL: A novel approach for passive object localization in WSN based on RSSI

  • Author

    Liu, Chen ; Fang, Dingyi ; Yang, Zhe ; Chen, Xiaojiang ; Wang, Wei ; Xing, Tianzhang ; An, Na ; Cai, Lin

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Northwest Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    586
  • Lastpage
    590
  • Abstract
    The Radio Signal Strength Indicator (RSSI)-based localization algorithm is an effective solution for passive object localization. However, the localization accuracy of the existing methods highly depends on the transceiver distance and deployment density. Generally speaking, to obtain higher accuracy, we need a denser sensor node deployment, which results in a higher deployment cost and more communication overheads. In this paper, we investigate this problem based on extensive measurements. According to the measurement results, we propose to localize objects using an RSSI distribution based localization (RDL) model to identify the object location by different RSSI distributions of the communicating links. Experimental results show that the RDL method can achieve higher localization accuracy with less sensor nodes.
  • Keywords
    indicators; object tracking; radio transceivers; sensor placement; wireless sensor networks; RDL model; RSSI distribution based localization; RSSI-based localization algorithm; WSN; denser sensor node deployment; passive object localization; radio signal strength indicator; transceiver deployment density; Accuracy; Diffraction; Fresnel reflection; Monitoring; Radar tracking; Transceivers; Wireless sensor networks; Passive Object Localization; RSSI; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363894
  • Filename
    6363894