Low-power wireless trace gas sensing network

Clinton J. Smith, Stephen So, Amir Khan, Mark Andrew Zondlo, Gerard Wysocki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationSensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
DOIs
StatePublished - Jul 6 2011
EventSensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII - Orlando, FL, United States
Duration: Apr 25 2011Apr 27 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8029
ISSN (Print)0277-786X

Other

OtherSensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring; and Biometric Technology for Human Identification VIII
Country/TerritoryUnited States
CityOrlando, FL
Period4/25/114/27/11

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Trace-gas sensing
  • environmental sensing
  • laser spectroscopy
  • low-power sensor-node
  • wavelength modulation spectroscopy
  • wireless sensor networks

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