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CN 34-1054/N

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Energy-efficient spectrum sensing in wireless cognitive sensor networks

  • Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Cite this: JUSTC, 2009, 39(10): 1052-1058
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  • Received Date: May 12, 2009
  • Revised Date: September 03, 2009
  • Published Date: October 30, 2009
    Abstract
  • Two energy-efficient strategies are proposed to reduce the energy consumed in the spectrum sensing procedure for wireless cognitive sensor networks. One involves using confidence voting algorithm to reduce the detection number, the other is based on Partially Observable Markov Decision Process (POMDP). Simulation results show that both algorithms can reduce the energy consumed in the detection efficiently, and the combination of the two algorithms can save more than 30% energy compared with the general algorithm with system detection reliability requirement guaranteed.
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