ISSN 0253-2778

CN 34-1054/N

Open AccessOpen Access JUSTC

Energy-efficient spectrum sensing in wireless cognitive sensor networks

Cite this:
  • Received Date: 13 May 2009
  • Rev Recd Date: 04 September 2009
  • Publish Date: 31 October 2009
  • 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.
    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.
  • loading
  • 加载中

Catalog

    Article Metrics

    Article views (177) PDF downloads(140)
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return