@inproceedings{6a74a5daa9a748639e8a886b99a50ee7,
title = "Energy-efficient detection system in time-varying signal and noise power",
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.",
keywords = "Detection, low-power system, scheduling, time-varying, wildlife monitoring",
author = "Long Le and Jun, {David M.} and Jones, {Douglas L.}",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638154",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "2736--2740",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}