• DocumentCode
    653226
  • Title

    An Improved Location Algorithm Based on CC2431

  • Author

    Yinghui Kong ; Qingqing Yang

  • Author_Institution
    Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    646
  • Lastpage
    652
  • Abstract
    In ranging technology-based positioning algorithm, after getting the distance between nodes using RSSI ranging, we can use trilateration method, triangulation method or maximum likelihood estimation algorithms to calculate the position of the blind node. In the real environment, the radio transmission path loss, antenna height, antenna angle of the obstacle, the electromagnetic wave interference and other factors have a significant impact to its received signal strength measurement and we can optimize the main parameter and exclude the maximum error by measuring and analyzing. And we have proposed the improved weighted centroid localization algorithm based on the CC2431 and the implementation of the algorithm change over the hardware. the improved algorithm proposed in this paper improved the positioning accuracy effectively, and achieved a well positioning results.
  • Keywords
    electromagnetic interference; maximum likelihood estimation; mobile computing; wireless sensor networks; CC2431; RSSI ranging; antenna angle; antenna height; blind node; electromagnetic wave interference; maximum likelihood estimation algorithms; positioning accuracy; radio transmission path loss; ranging technology-based positioning algorithm; received signal strength measurement; triangulation method; trilateration method; weighted centroid localization algorithm; Accuracy; Engines; Maximum likelihood detection; Nonlinear filters; Propagation losses; Wireless communication; Wireless sensor networks; CC2431 location engines; Improved localization algorithm; RSSI; transmission model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.119
  • Filename
    6682133