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Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks
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DOI：10.3390/s19092174.png)
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摘要
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The cognitive wireless sensor network (CWSN) is an important development direction of wireless sensor networks (WSNs), and spectrum sensing technology is an essential prerequisite for CWSN to achieve spectrum sharing. However, the existing non-cooperative narrowband spectrum sensing technology has difficulty meeting the application requirements of CWSN at present. In this paper, we present a non-cooperative spectrum sensing algorithm for CWSN, which combines the multi-resolution technique, phase space reconstruction method, and singular spectrum entropy method to sense the spectrum of narrowband wireless signals. Simulation results validate that this algorithm can greatly improve the detection probability at a low signal-to-noise ratio (SNR) (from -19dB to -12dB), and the detector can quickly achieve the best detection performance as the SNR increases. This algorithm could promote the development of CWSN and the application of WSNs.
Keyword:
cognitive wireless sensor networks
spectrum sensing
singular spectrum entropy
multi-resolution analysis
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IF:
3.5
论文数:
7.2W
被引数:
20.9W
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Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications认知无线电网络频谱感知研究进展: 理论与应用
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