{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T16:39:50Z","timestamp":1781714390785,"version":"3.54.5"},"reference-count":32,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T00:00:00Z","timestamp":1557446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of\u00a0Hunan Province","doi-asserted-by":"publisher","award":["2018JJ3607"],"award-info":[{"award-number":["2018JJ3607"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51575517"],"award-info":[{"award-number":["51575517"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Technology Foundation Project","award":["181GF22006"],"award-info":[{"award-number":["181GF22006"]}]},{"name":"Frontier Science and Technology Innovation Project in the National Key Research and Development Program","award":["2016QY11W2003"],"award-info":[{"award-number":["2016QY11W2003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 \u221219dB to \u221212dB), 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.<\/jats:p>","DOI":"10.3390\/s19092174","type":"journal-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T03:57:07Z","timestamp":1557719827000},"page":"2174","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Optimized Non-Cooperative Spectrum Sensing Algorithm in Cognitive Wireless Sensor Networks"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5607-7096","authenticated-orcid":false,"given":"Yangyi","family":"Chen","sequence":"first","affiliation":[{"name":"College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojing","family":"Su","sequence":"additional","affiliation":[{"name":"College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiwen","family":"Yin","sequence":"additional","affiliation":[{"name":"College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Zuo","sequence":"additional","affiliation":[{"name":"College of Intelligent Science and Technology, National University of Defense Technology, Changsha 410073, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyu","family":"Wei","sequence":"additional","affiliation":[{"name":"College of electric and information engineering, Hunan University of Technology, Zhuzhou 411201, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Logistics department, Unit 93010 of the people\u2019s liberation army, Shenyang 110000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/MNET.2009.5191144","article-title":"Cognitive radio sensor networks","volume":"23","author":"Akan","year":"2009","journal-title":"IEEE Netw."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Zahmati, A.S., Hussain, S., Fernando, X., and Grami, A. 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