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Low power wireless sensor network for building monitoring

(2013) IEEE SENSORS JOURNAL. 13(3). p.909-915
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Abstract
A wireless sensor network is proposed for monitoring buildings to assess earthquake damage. The sensor nodes use custom-developed capacitive microelectromechanical systems strain and 3-D acceleration sensors and a low power readout application-specified integrated circuit for a battery life of up to 12 years. The strain sensors are mounted at the base of the building to measure the settlement and plastic hinge activation of the building after an earthquake. They measure periodically or on-demand from the base station. The accelerometers are mounted at every floor of the building to measure the seismic response of the building during an earthquake. They record during an earthquake event using a combination of the local acceleration data and remote triggering from the base station based on the acceleration data from multiple sensors across the building. A low power network architecture was implemented over an 802.15.4 MAC in the 900-MHz band. A custom patch antenna was designed in this frequency band to obtain robust links in real-world conditions. The modules have been validated in a full-scale laboratory setup with simulated earthquakes.
Keywords
buildings, Monitoring, sensors, strain, Wireless sensor networks, MEMS, remote monitoring, wireless sensor networks, structural health monitoring, Base stations, Accelerometers

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Citation

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Chicago
Torfs, Tom, Tom Sterken, Steven Brebels, Juan Santana, Richard van den Hoven, Vincent Spiering, Nicolas Bertsch, Davide Trapani, and Daniele Zonta. 2013. “Low Power Wireless Sensor Network for Building Monitoring.” Ieee Sensors Journal 13 (3): 909–915.
APA
Torfs, T., Sterken, T., Brebels, S., Santana, J., van den Hoven, R., Spiering, V., Bertsch, N., et al. (2013). Low power wireless sensor network for building monitoring. IEEE SENSORS JOURNAL, 13(3), 909–915.
Vancouver
1.
Torfs T, Sterken T, Brebels S, Santana J, van den Hoven R, Spiering V, et al. Low power wireless sensor network for building monitoring. IEEE SENSORS JOURNAL. 2013;13(3):909–15.
MLA
Torfs, Tom, Tom Sterken, Steven Brebels, et al. “Low Power Wireless Sensor Network for Building Monitoring.” IEEE SENSORS JOURNAL 13.3 (2013): 909–915. Print.
@article{3141755,
  abstract     = {A wireless sensor network is proposed for monitoring buildings to assess earthquake damage. The sensor nodes use custom-developed capacitive microelectromechanical systems strain and 3-D acceleration sensors and a low power readout application-specified integrated circuit for a battery life of up to 12 years. The strain sensors are mounted at the base of the building to measure the settlement and plastic hinge activation of the building after an earthquake. They measure periodically or on-demand from the base station. The accelerometers are mounted at every floor of the building to measure the seismic response of the building during an earthquake. They record during an earthquake event using a combination of the local acceleration data and remote triggering from the base station based on the acceleration data from multiple sensors across the building. A low power network architecture was implemented over an 802.15.4 MAC in the 900-MHz band. A custom patch antenna was designed in this frequency band to obtain robust links in real-world conditions. The modules have been validated in a full-scale laboratory setup with simulated earthquakes.},
  author       = {Torfs, Tom and Sterken, Tom and Brebels, Steven and Santana, Juan and van den Hoven, Richard and Spiering, Vincent and Bertsch, Nicolas and Trapani, Davide and Zonta, Daniele},
  issn         = {1530-437X},
  journal      = {IEEE SENSORS JOURNAL},
  keyword      = {buildings,Monitoring,sensors,strain,Wireless sensor networks,MEMS,remote monitoring,wireless sensor networks,structural health monitoring,Base stations,Accelerometers},
  language     = {eng},
  number       = {3},
  pages        = {909--915},
  title        = {Low power wireless sensor network for building monitoring},
  url          = {http://dx.doi.org/10.1109/JSEN.2012.2218680},
  volume       = {13},
  year         = {2013},
}

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