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
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"
Conference_Titel :
Computing and Communications Conference (IPCCC), 2015 IEEE 34th International Performance
Electronic_ISBN :
2374-9628
DOI :
10.1109/PCCC.2015.7410292