• DocumentCode
    3421640
  • Title

    Agility of wireless sensor networks for earthquake monitoring of bridges

  • Author

    Cheng, Liang ; Pakzad, Shamim N.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Applying wireless sensor networks (WSNs) for bridge monitoring has received considerable interests over the past few years. In this paper two WSN-agility problems are identified based on the deployment experiences of WSNs in earthquake monitoring of bridges: (i) timely capturing the earthquake response of bridges and (ii) quasi-realtime processing of the measured data for bridge modal identification in monitoring the features of the structure. This paper also presents solutions for these problems: a pulse-based media access control scheme for the first problem and a distributed approach to modal identification by spectral methods for the second problem to address the combined agility issues. Results show the effectiveness of the proposed approaches.
  • Keywords
    bridges (structures); condition monitoring; earthquake engineering; modal analysis; structural engineering; wireless sensor networks; WSN; WSN agility problems; bridges; earthquake monitoring; media access control; modal identification; spectral methods; wireless sensor networks; Bridges; Computerized monitoring; Data mining; Earthquake engineering; Feature extraction; Media Access Protocol; Poles and towers; Seismic measurements; Sensor phenomena and characterization; Wireless sensor networks; distributed algorithm; media access control; modal identification; network agility; wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Sensing Systems (INSS), 2009 Sixth International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-4244-6313-8
  • Electronic_ISBN
    978-1-4244-6314-5
  • Type

    conf

  • DOI
    10.1109/INSS.2009.5409921
  • Filename
    5409921