Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks

被引：9

作者：

Chen, Yangyi ^{[1
]}

Su, Shaojing ^{[1
]}

Yin, Huiwen ^{[1
]}

Guo, Xiaojun ^{[1
]}

Zuo, Zhen ^{[1
]}

Wei, Junyu ^{[2
]}

Zhang, Liyin ^{[3
]}

机构：

[1] Natl Univ Def Technol, Coll Intelligent Sci & Technol, Changsha 410073, Hunan, Peoples R China

[2] Hunan Univ Technol, Coll Elect & Informat Engn, Zhuzhou 411201, Peoples R China

[3] Peoples Liberat Army, Unit 93010, Logist Dept, Shenyang 110000, Liaoning, Peoples R China

来源：

SENSORS | 2019年 / 19卷 / 09期

基金：

中国国家自然科学基金;

关键词：

cognitive wireless sensor networks; spectrum sensing; singular spectrum entropy; multi-resolution analysis; ENERGY; RADIO;

D O I：

10.3390/s19092174

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页数：16

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