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Proceedings Article

Low-power wireless trace gas sensing network

[+] Author Affiliations
Clinton J. Smith, Stephen So, Amir Khan, Mark A. Zondlo, Gerard Wysocki

Princeton Univ. (USA)

Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291G (May 16, 2011); doi:10.1117/12.883495
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From Conference Volume 8029

  • Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
  • Sárka O. Southern; Kevin N. Montgomery; Carl W. Taylor; Bernhard H. Weigl; B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross
  • Orlando, Florida, United States | April 25, 2011

abstract

A basic wireless laser spectroscopic sensor network for monitoring of trace-gases will be presented. The prototype lowpower sensor nodes targeting carbon dioxide are based on tunable diode laser absorption spectroscopy and operate using a 2 μm VCSEL and a 3.5 m Herriott multi-pass cell. The sensor system, which employs real-time wireless communications, is controlled by custom electronics and can be operated autonomously. The sensor core electronics performs molecular concentration measurements using wavelength modulation spectroscopy with an active laser frequency locking to the target transition. The operating sensor node consumes approximately 300 mW of electrical power and can work autonomously for up to 100 hours when powered by a 10.5 Ah Lithium-ion polymer battery. Environmentally controlled long term (12 hours) stability tests show sensor node detection limit of ~0.286 ppm with 1 second integration time and the ultimate minimum detectable fractional absorption of 1.5x10-6 is obtained after 3500 seconds averaging time. The sensor node performance results and preliminary tests in a basic network configuration are discussed.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Clinton J. Smith ; Stephen So ; Amir Khan ; Mark A. Zondlo and Gerard Wysocki
"Low-power wireless trace gas sensing network", Proc. SPIE 8029, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII, 80291G (May 16, 2011); doi:10.1117/12.883495; http://dx.doi.org/10.1117/12.883495


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