• DocumentCode
    2810728
  • Title

    An efficient ranging method for wireless sensor networks

  • Author

    Wang, Chen ; Yin, Qinye ; Wang, Wenjie

  • Author_Institution
    Minist. of Educ. Key Lab. for Intell. Networks & Network Security, Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2846
  • Lastpage
    2849
  • Abstract
    The Radio Interferometric Positioning System (RIPS) provides a localization method with high accuracy and simple hardware configuration for sensor networks by means of measuring the phase difference of the interference signal. However, due to the periodicity of phase, it is hard to determine the actual distance difference only from a single phase measurement. To solve the problem, RIPS makes multiple measurements at different frequencies so as to convert phase difference to distance difference, which is a computationally intensive searching process and not suitable for the energy-constrained wireless sensor nodes. In this paper, we propose an efficient ranging method based on Chinese Remainder Theorem (CRT). Meanwhile, we utilize some properties of the coefficients in the CRT algorithm to avoid the over-sensitivity of the traditional CRT, which increases the robustness of the algorithm. We apply this robust CRT algorithm to the ranging process which calculates the distance difference directly in a closed form equation and therefore reduces the response time and energy consumption of the ranging procedure.
  • Keywords
    sensor placement; wireless sensor networks; Chinese Remainder Theorem; closed form equation; localization method; ranging method; wireless sensor networks; Cathode ray tubes; Energy measurement; Hardware; Interference; Phase measurement; Position measurement; Radio interferometry; Robustness; Sensor systems; Wireless sensor networks; Chinese Remainder Theorem; Measurement noise; Phase Ambiguity; Ranging; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496192
  • Filename
    5496192