• DocumentCode
    3748372
  • Title

    Power-free Structural Health Monitoring via compressive sensing

  • Author

    Ju-min Zhao; Ding Feng; Deng-ao Li; Bao-feng Zhao

  • Author_Institution
    Information Engineering College of Taiyuan University of Technology, Shanxi, China 030024
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Structural Health Monitoring (SHM) plays an important rule to improve life safety and achieve economic benefits. The use of conventional wireless sensor networks for SHM incurs a huge maintenance cost for frequent battery changes. In this paper, we adopt passive RFID tags, which are power-free devices, to build fine-grained SHM systems. To get timely report of the monitoring data, we propose a power-free monitoring scheme with compressive sensing (PFM-CS) to collect aggregated SHM events. It takes the advantage of compressive sensing to reconstruct original events with high accuracy. We evaluate the performance of PFM-CS using the real world data trace collected from a nineteen-storey building in Singapore. The results validate the effectiveness and efficiency of PFM-CS.
  • Keywords
    "Monitoring","Wireless sensor networks","Passive RFID tags","Buildings","Compressed sensing"
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communications Conference (IPCCC), 2015 IEEE 34th International Performance
  • Electronic_ISBN
    2374-9628
  • Type

    conf

  • DOI
    10.1109/PCCC.2015.7410292
  • Filename
    7410292