• DocumentCode
    114366
  • Title

    Geometric pattern of RFID multi-tag distribution in dynamic IOT environment

  • Author

    Yu Xiao-lei ; Yu Yin-shan ; Zhao Zhi-min ; Wang Dong-hua

  • Author_Institution
    Coll. of Electron. Eng. & Optoelectron., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    809
  • Lastpage
    812
  • Abstract
    In order to improve the dynamical recognition efficiency of radio frequency identification (RFID) system and to reduce the reading error of measurement, a dynamical analysis method is proposed in this paper, in which Fisher information matrix is introduced into RFID multi-tag distribution. The optimal selection of system´s test point and the positioning effect of different planning paths could be evaluated by the Fisher information matrix with state parameters. In view of the rational distribution of RFID tags, the multi-tag geometrical patterns are given in dynamic internet of things (IOT) environment. The numerical simulation is shown that the tag number, path and speed could directly affect the RFID system´s performance. Furthermore, the planning paths, limiting target speed and adjusting test points in practical applications could improve the dynamic recognition efficiency, by analysing the recognition efficiency curve.
  • Keywords
    Internet of Things; matrix algebra; numerical analysis; radiofrequency identification; Fisher information matrix; RFID multitag distribution; dynamic IOT environment; dynamic internet of things environment; dynamical analysis; dynamical recognition efficiency; multitag geometrical patterns; numerical simulation; optimal selection; planning paths; radiofrequency identification; Acceleration; Aerodynamics; Educational institutions; Geometry; Heuristic algorithms; Planning; Radiofrequency identification; Fisher information matrix; RFID multi-tag; dynamic IOT; geometric pattern; path planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920600
  • Filename
    6920600