• DocumentCode
    1649365
  • Title

    A Novel Localization Algorithm Based on RSSI for Wireless Sensor Networks

  • Author

    Ding, XuYang ; Zhao, Hai ; Zhu, Jian ; Zhang, Kuan ; Li, DaZhou

  • Author_Institution
    Inf. & Sci. Eng. Acad., North East Univ., Shenyang, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Localization is the foundation of several techniques and applications and plays an important role in Wireless sensor network (WSN). A variety of localization algorithms are based on Received Signal Strength Indicator (RSSI). Although the RSSI-based localization technology needs no additional hardware, the accuracy of this method could not meet the requirements of some applications. A novel Localization error model is proposed based on a large number of experiments. In the first phase, a power amplifier (PA) will be added to enlarge the linear region of wireless signal. Secondly, a novel sample matching algorithm is proposed to improve the accuracy of localization. To maintain the performance of localization under the conditions with less beacon nodes, an improved Euclidean algorithm is proposed. The experimental results indicate that the improvements from these aspects could significantly reduce the localization system error.
  • Keywords
    power amplifiers; sampling methods; wireless sensor networks; PA; RSSI; WSN; improved Euclidean algorithm; localization error model; power amplifier; received signal strength indicator; received signal strength indicator localization technology; sample matching algorithm; wireless sensor networks; Accuracy; Ad hoc networks; Databases; Fingerprint recognition; Mathematical model; Nickel; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6040324
  • Filename
    6040324