A Censor-Based Cooperative Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Sensor Networks

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概要

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• This letter proposes a novel censor-based scheme for cooperative spectrum sensing on Cognitive Radio Sensor Networks. A Takagi-Sugenos fuzzy system is proposed to make the decision on the presence of the licensed users signal based on the observed energy at each cognitive sensor node. The local spectrum sensing results are aggregated to make the final sensing decision at the fusion center after being censored to reduce transmission energy and reporting time. Simulation results show that significant improvement of the spectrum sensing accuracy, and saving energy as well as reporting time are achieved by our scheme.

• （社）電子情報通信学会の論文
• 2010-12-01

著者

• Koo Insoo

  School Of Electrical Engineering University Of Ulsan

• Kieu-xuan Thuc

  School Of Electrical Engineering University Of Ulsan

関連論文

• An Efficient RSS-Based Localization Scheme with Calibration in Wireless Sensor Networks
• An Efficient Weight-Based Cooperative Spectrum Sensing Scheme in Cognitive Radio Systems
• A Censor-Based Cooperative Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Sensor Networks
• An Adaptive Cooperative Spectrum Sensing Scheme Using Reinforcement Learning for Cognitive Radio Sensor Networks
• A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence

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