2026-09-22T00:07:16Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/45422 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Jones, Douglas L. Le, Long 2013-08-22T16:39:42Z 2013-08-22T16:39:42Z 2013-08 2013-08-22T16:39:42Z 2013-08 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 signal processing applications, the signal and noise power may vary greatly over time, which 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 thesis. 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. Hardware implementation also consolidates the empirical evidence for the effectiveness of the proposed method. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-06-10T13:56:06Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Le_Long.pdf: 1575237 bytes, checksum: 6fc9da2f9949d3f1ceb286c3d608364d (MD5) Made available in DSpace on 2013-08-22T16:39:42Z (GMT). No. of bitstreams: 2 Long_Le.pdf: 1575237 bytes, checksum: 6fc9da2f9949d3f1ceb286c3d608364d (MD5) license.txt: 4056 bytes, checksum: 108b12b5f0b1a917d593c29cf1409ea6 (MD5) http://hdl.handle.net/2142/45422 en Copyright 2013 Long Le Energy-efficient detection Scheduler Time-varying Signal-to-Noise Ratio (SNR) Estimation Adaptive threshold Energy-efficient detection system in time-varying signal and noise power text Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS