Citation
Long Le, David Jun, Douglas L. Jones. "Energy-Efficient Detection System in Time-Varying Signal and Noise Power". International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, 29, May, 2013.

Abstract
In many detection applications with battery powered or energy-harvesting sensors, energy constraints preclude the use of the optimal detector all the time. Optimal energy performance trade-off is therefore needed in such situations. In many applications, the signal and noise power may vary greatly over time, and this can be exploited to constrain energy consumption while maintaining the best possible performance. A detector scheduling algorithm based on the signal and noise power information is developed in this work. The resulting algorithm is simple due to its threshold-test structure and can be easily implemented with almost no overhead. A detection system with two detectors using the proposed scheduling scheme is estimated to greatly reduce the energy consumption for a wildlife monitoring application.

Electronic downloads

• http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6638154

• HTML

  Long Le, David Jun, Douglas L. Jones. <a
  href="http://www.terraswarm.org/pubs/56.html"
  >Energy-Efficient Detection System in Time-Varying Signal
  and Noise Power</a>, International Conference on
  Acoustics, Speech, and Signal Processing (ICASSP) 2013, 29,
  May, 2013.

• Plain text

  Long Le, David Jun, Douglas L. Jones. "Energy-Efficient
  Detection System in Time-Varying Signal and Noise
  Power". International Conference on Acoustics, Speech,
  and Signal Processing (ICASSP) 2013, 29, May, 2013.

• BibTeX

  @inproceedings{LeJunJones13_EnergyEfficientDetectionSystemInTimeVaryingSignalNoise,
      author = {Long Le and David Jun and Douglas L. Jones},
      title = {Energy-Efficient Detection System in Time-Varying
                Signal and Noise Power},
      booktitle = {International Conference on Acoustics, Speech, and
                Signal Processing (ICASSP) 2013},
      day = {29},
      month = {May},
      year = {2013},
      abstract = {In many detection applications with battery
                powered or energy-harvesting sensors, energy
                constraints preclude the use of the optimal
                detector all the time. Optimal energy performance
                trade-off is therefore needed in such situations.
                In many applications, the signal and noise power
                may vary greatly over time, and this can be
                exploited to constrain energy consumption while
                maintaining the best possible performance. A
                detector scheduling algorithm based on the signal
                and noise power information is developed in this
                work. The resulting algorithm is simple due to its
                threshold-test structure and can be easily
                implemented with almost no overhead. A detection
                system with two detectors using the proposed
                scheduling scheme is estimated to greatly reduce
                the energy consumption for a wildlife monitoring
                application.},
      URL = {http://terraswarm.org/pubs/56.html}
  }
  

Posted by Mila MacBain on 29 Apr 2013.