{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,26]],"date-time":"2026-04-26T15:13:09Z","timestamp":1777216389522,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T00:00:00Z","timestamp":1617753600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T00:00:00Z","timestamp":1617753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Natural Science Foundation of Department of education of Anhui Province","award":["KJ2017A452"],"award-info":[{"award-number":["KJ2017A452"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The lack of spectrum resources restricts the development of wireless communication applications. In order to solve the problems of low spectrum utilization and channel congestion caused by the static division of spectrum resource, this paper proposes an optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks. In this scheme, different weight values will be assigned for cooperative nodes according to the SNR of cognitive users and the historical sensing accuracy. In addition, the cognitive users can be clustered, and the users with the better channel characteristics will be selected as cluster heads for gathering the local sensing information. Simulation results show that the proposed scheme can obtain better sensing performance, improve the detection probability and reduce the error probability.<\/jats:p>","DOI":"10.1186\/s13638-021-01977-5","type":"journal-article","created":{"date-parts":[[2021,4,7]],"date-time":"2021-04-07T13:03:59Z","timestamp":1617800639000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks"],"prefix":"10.1186","volume":"2021","author":[{"given":"Haiyan","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiabao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,7]]},"reference":[{"issue":"4","key":"1977_CR1","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/MNET.2009.5191144","volume":"23","author":"OB Akan","year":"2018","unstructured":"O.B. Akan, O.B. Karli, O. Ergul, Cognitive radio sensor networks. IEEE Netw. 23(4), 34\u201340 (2018)","journal-title":"IEEE Netw."},{"issue":"3","key":"1977_CR2","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s11277-018-6059-9","volume":"104","author":"S Chilakala","year":"2019","unstructured":"S. Chilakala, S.R.M. Satya, Energy efficiency in cognitive radio network using cooperative spectrum sensing. Wirel. Pers. Commun. 104(3), 907\u2013919 (2019)","journal-title":"Wirel. Pers. Commun."},{"issue":"14","key":"1977_CR3","doi-asserted-by":"publisher","first-page":"3875","DOI":"10.1109\/TSP.2018.2838575","volume":"66","author":"B Nilanjan","year":"2018","unstructured":"B. Nilanjan, D. Goutam, R. Priyadip, Optimal hybrid spectrum sensing under control channel usage constraint. IEEE Trans. Signal Process. 66(14), 3875\u20133890 (2018)","journal-title":"IEEE Trans. Signal Process."},{"issue":"2","key":"1977_CR4","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/s11277-011-0372-x","volume":"67","author":"H Rif-Pous","year":"2012","unstructured":"H. Rif-Pous, M.J. Blasco, C. Garrigues, Review of robust cooperative spectrum sensing techniques for cognitive radio networks. Wirel. Pers. Commun. 67(2), 175\u2013198 (2012)","journal-title":"Wirel. Pers. Commun."},{"issue":"1","key":"1977_CR5","first-page":"112","volume":"18","author":"Y Zikria","year":"2018","unstructured":"Y. Zikria, F. Ishmanov, M. Afzal, S. Kim, S. Nam, H. Yu, Opportunistic channel selection MAC protocol for cognitive radio ad hoc sensor networks in the Internet of Things. Sustain. Comput. Inf. Syst. 18(1), 112\u2013120 (2018)","journal-title":"Sustain. Comput. Inf. Syst."},{"issue":"1","key":"1977_CR6","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1109\/COMST.2014.2364316","volume":"18","author":"Y Chen","year":"2016","unstructured":"Y. Chen, H. Oh, A survey of measurement-based spectrum occupancy modeling for cognitive radios. IEEE Commun. Surv. Tuts 18(1), 848\u2013859 (2016)","journal-title":"IEEE Commun. Surv. Tuts"},{"issue":"21","key":"1977_CR7","doi-asserted-by":"publisher","first-page":"5648","DOI":"10.1109\/TSP.2018.2869128","volume":"66","author":"MR Leonard","year":"2018","unstructured":"M.R. Leonard, A.M. Zoubir, Robust sequential detection in distributed sensor networks. IEEE Trans. Signal Process. 66(21), 5648\u20135662 (2018)","journal-title":"IEEE Trans. Signal Process."},{"issue":"5","key":"1977_CR8","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1109\/LCOMM.2018.2809738","volume":"22","author":"R Han","year":"2018","unstructured":"R. Han, L. Du, Y. Chen, Performance analysis of sequential detection of primary user number based on multi-hypothesis sequential probability ratio test. IEEE Commun. Lett. 22(5), 1034\u20131037 (2018)","journal-title":"IEEE Commun. Lett."},{"issue":"9","key":"1977_CR9","doi-asserted-by":"publisher","first-page":"4509","DOI":"10.1109\/TSP.2012.2202657","volume":"60","author":"Y Yilmaz","year":"2012","unstructured":"Y. Yilmaz, G.V. Moustakides, X. Wang, Cooperative sequential spectrum sensing based on level- triggered sampling. IEEE Trans. Signal Process. 60(9), 4509\u20134524 (2012)","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"1977_CR10","doi-asserted-by":"publisher","first-page":"4388","DOI":"10.3390\/s150204388","volume":"15","author":"NT Do","year":"2015","unstructured":"N.T. Do, B.A. An, Soft-hard combination-based cooperative spectrum sensing scheme for cognitive radio networks. Sensors 15(1), 4388\u20134407 (2015)","journal-title":"Sensors"},{"issue":"2","key":"1977_CR11","doi-asserted-by":"publisher","first-page":"473","DOI":"10.3390\/s18020473","volume":"18","author":"Y Fu","year":"2018","unstructured":"Y. Fu, F. Yang, Z. He, A quantization-based multi-bit data fusion scheme for cooperative spectrum sensing in cognitive radio networks. Sensors 18(2), 473\u2013486 (2018)","journal-title":"Sensors"},{"issue":"22","key":"1977_CR12","doi-asserted-by":"publisher","first-page":"7837","DOI":"10.1109\/JSEN.2016.2608846","volume":"16","author":"Y Peng","year":"2016","unstructured":"Y. Peng, F. Al-Hazemi, H. Kim, Joint selection for cooperative spectrum sensing in wireless sensor networks. IEEE Sens. J. 16(22), 7837\u20137838 (2016)","journal-title":"IEEE Sens. J."},{"key":"1977_CR13","unstructured":"G. Manish, Y. Gaurav, Improved weighted cooperative spectrum sensing algorithm based on reliability in cognitive radio networks. In: Proceedings of 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, pp. 609\u2013612 (2016)"},{"key":"1977_CR14","unstructured":"K. G. Shin, X. Zhang, A. W. Min, Spatio-temporal fusion for small-scale primary detection in cognitive radio networks. In: Proceedings of 2010 IEEE International Conference on Computer Communications (INFOCOM), pp. 1\u20135 (2010)"},{"key":"1977_CR15","unstructured":"G. Caso, L. D. Nardis, O. Holland, Impact of spatio-temporal correlation in cooperative spectrum sensing for mobile cognitive radio networks. In: Proceedings of Tenth International Symposium on Wireless Communication, pp. 1\u20135 (2013)."},{"issue":"2","key":"1977_CR16","doi-asserted-by":"publisher","first-page":"516","DOI":"10.1109\/TWC.2012.122212.111638","volume":"12","author":"Q Wu","year":"2013","unstructured":"Q. Wu, G. Ding, J. Wang, Spatial-temporal opportunity detection for spectrum-heterogeneous cognitive radio networks: two-dimensional sensing. IEEE Trans. Wirel. Commun. 12(2), 516\u2013526 (2013)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"5","key":"1977_CR17","doi-asserted-by":"publisher","first-page":"4616","DOI":"10.1109\/JIOT.2019.2954588","volume":"7","author":"Z Lv","year":"2020","unstructured":"Z. Lv, H. Song, Mobile internet of things under data physical fusion technology. IEEE Internet Things J. 7(5), 4616\u20134624 (2020)","journal-title":"IEEE Internet Things J."},{"key":"1977_CR18","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2021.601109","author":"S Yang","year":"2021","unstructured":"S. Yang, T. Gao, J. Wang, B. Deng, B. Lansdell, B. Linares-Barranco, Efficient spike-driven learning with dendritic event-based processing. Front. Neurosci. (2021). https:\/\/doi.org\/10.3389\/fnins.2021.601109","journal-title":"Front. Neurosci."},{"issue":"8","key":"1977_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2020.3044719","volume":"70","author":"B Wang","year":"2020","unstructured":"B. Wang, F. Ma, L. Ge, H. Ma, H. Wang, M.A. Mohamed, Icing-EdgeNet: a pruning lightweight edge intelligent method of discriminative driving channel for ice thickness of transmission lines. IEEE Trans. Instrum. Meas. 70(8), 1\u201312 (2020)","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"1","key":"1977_CR20","doi-asserted-by":"publisher","first-page":"7622","DOI":"10.1038\/s41598-017-05991-w","volume":"7","author":"C Zuo","year":"2017","unstructured":"C. Zuo, J. Sun, J. Li, J. Zhang, A. Asundi, Q. Chen, High-resolution transport-of-intensity quantitative phase microscopy with annular illumination. Sci. Rep. 7(1), 7622\u20137654 (2017)","journal-title":"Sci. Rep."},{"issue":"1","key":"1977_CR21","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1109\/JSTSP.2019.2957952","volume":"14","author":"Y Zhou","year":"2020","unstructured":"Y. Zhou, L. Tian, C. Zhu, X. Jin, Y. Sun, video coding optimization for virtual reality 360-degree source. IEEE J. Sel. Top. Signal Process. 14(1), 118\u2013129 (2020)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"issue":"7","key":"1977_CR22","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/JIOT.2019.2942719","volume":"7","author":"Z Lv","year":"2020","unstructured":"Z. Lv, W. Xiu, Interaction of edge-cloud computing based on SDN and NFV for next generation IoT. IEEE Internet Things J. 7(7), 5706\u20135712 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"7","key":"1977_CR23","first-page":"1115","volume":"9","author":"J Zhao","year":"2020","unstructured":"J. Zhao, J. Liu, J. Jiang, F. Gao, Efficient deployment with geometric analysis for mmWave UAV communications. IEEE Wirel. Commun. Lett. 9(7), 1115\u20131119 (2020)","journal-title":"IEEE Wirel. Commun. Lett."},{"issue":"12","key":"1977_CR24","doi-asserted-by":"publisher","first-page":"6062","DOI":"10.1109\/TIP.2015.2491020","volume":"24","author":"M Yang","year":"2015","unstructured":"M. Yang, A. Sowmya, An underwater color image quality evaluation metric. IEEE Trans. Image Process. 24(12), 6062\u20136071 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"1977_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05708-1","author":"G Sun","year":"2021","unstructured":"G. Sun, C. Li, L. Deng, An adaptive regeneration framework based on search space adjustment for differential evolution. Neural Comput. Appl. (2021). https:\/\/doi.org\/10.1007\/s00521-021-05708-1","journal-title":"Neural Comput. Appl."},{"issue":"4","key":"1977_CR26","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.1109\/TIP.2018.2881828","volume":"28","author":"Q Jiang","year":"2019","unstructured":"Q. Jiang, F. Shao, W. Gao, Z. Chen, G. Jiang, Y. Ho, Unified no-reference quality assessment of singly and multiply distorted stereoscopic images. IEEE Trans. Image Process. 28(4), 1866\u20131881 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1977_CR27","doi-asserted-by":"crossref","unstructured":"L. Ding, S. Li, H. Gao, C. Chen, Z. Deng, Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems. IEEE Trans. Syst. Man Cybern.-Syst. 50(7), 2512\u20132523 (2020)","DOI":"10.1109\/TSMC.2018.2819191"},{"key":"1977_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3045492","author":"S Yang","year":"2021","unstructured":"S. Yang, J. Wang, X. Hao, H. Li, X. Wei, B. Deng, K.A. Loparo, BiCoSS: toward large-scale cognition brain with multigranular neuromorphic architecture. IEEE Trans. Neural Netw. Learn. Syst. (2021). https:\/\/doi.org\/10.1109\/TNNLS.2020.3045492","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"1977_CR29","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.optlaseng.2015.03.006","volume":"71","author":"C Zuo","year":"2015","unstructured":"C. Zuo, Q. Chen, L. Tian, L. Waller, A. Asundi, Transport of intensity phase retrieval and computational imaging for partially coherent fields: the phase space perspective. Opt. Lasers Eng. 71(8), 20\u201332 (2015)","journal-title":"Opt. Lasers Eng."},{"issue":"1","key":"1977_CR30","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1109\/TCYB.2019.2939424","volume":"51","author":"L Ding","year":"2021","unstructured":"L. Ding, S. Li, H. Gao, Y. Liu, L. Huang, Z. Deng, Adaptive neural network-based finite-time online optimal tracking control of the nonlinear system with dead zone. IEEE Trans Cybern. 51(1), 382\u2013392 (2021)","journal-title":"IEEE Trans Cybern."},{"issue":"11","key":"1977_CR31","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.ijar.2020.08.006","volume":"126","author":"Z Zhang","year":"2020","unstructured":"Z. Zhang, M. Liu, M. Zhou, J. Chen, Dynamic reliability analysis of nonlinear structures using a duffing-system-based equivalent nonlinear system method. Int. J. Approx. Reason. 126(11), 84\u201397 (2020)","journal-title":"Int. J. Approx. Reason."},{"issue":"6","key":"1977_CR32","doi-asserted-by":"publisher","first-page":"4117","DOI":"10.1007\/s11227-017-2227-z","volume":"76","author":"X Dong","year":"2020","unstructured":"X. Dong, M. Qian, R. Jiang, Packet\u00a0classification\u00a0based\u00a0on\u00a0decisiontree\u00a0with\u00a0information\u00a0entropy. J. Supercomput. 76(6), 4117\u20134131 (2020)","journal-title":"J. Supercomput."},{"issue":"4","key":"1977_CR33","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1504\/IJBIC.2020.112328","volume":"6","author":"C Jiang","year":"2020","unstructured":"C. Jiang, R. Li, T. Chen, C. Xu, L. Li, S. Li, A two-lane mixed traffic flow model with drivers\u2019 intention to change lane based on cellular automata. Int. J. Bio-Inspired Comput. 6(4), 229\u2013240 (2020)","journal-title":"Int. J. Bio-Inspired Comput."},{"issue":"4","key":"1977_CR34","doi-asserted-by":"publisher","first-page":"126305","DOI":"10.1016\/j.jclepro.2021.126305","volume":"294","author":"Z Liu","year":"2021","unstructured":"Z. Liu, L. Lang, B. Hu, L. Shi, B. Huang, Y. Zhao, Emission reduction decision of agricultural supply chain considering carbon tax and investment cooperation. J. Clean. Prod. 294(4), 126305 (2021)","journal-title":"J. Clean. Prod."},{"issue":"3","key":"1977_CR35","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1109\/TCOMM.2010.03.090084","volume":"58","author":"B Wang","year":"2010","unstructured":"B. Wang, K. Liu, T. Clancy, Evolutionary cooperative spectrum sensing game: how to collaborate. IEEE Trans. Commun. 58(3), 890\u2013900 (2010)","journal-title":"IEEE Trans. Commun."},{"key":"1977_CR36","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2019.2909279","author":"L Dong","year":"2019","unstructured":"L. Dong, W. Wu, Q. Guo, Reliability-aware offloading and allocation in multilevel edge computing system. IEEE Trans. Reliab. (2019). https:\/\/doi.org\/10.1109\/TR.2019.2909279","journal-title":"IEEE Trans. Reliab."},{"issue":"3","key":"1977_CR37","doi-asserted-by":"publisher","first-page":"1861","DOI":"10.1109\/COMST.2016.2553178","volume":"18","author":"K Cicho","year":"2016","unstructured":"K. Cicho, A. Kliks, H. Bogucka, Energy-efficient cooperative spectrum sensing: a survey. IEEE Commun. Surv. 18(3), 1861\u20131886 (2016)","journal-title":"IEEE Commun. Surv."},{"issue":"6","key":"1977_CR38","first-page":"1023","volume":"4","author":"AA El-Saleh","year":"2010","unstructured":"A.A. El-Saleh, M. Ismail, M.A.M. Ali, I.H. Arka, Hybrid SDF-HDF cluster-based fusion scheme for cooperative spectrum sensing in cognitive radio networks. KSII Trans. Internet Inf. Syst. 4(6), 1023\u20131041 (2010)","journal-title":"KSII Trans. Internet Inf. Syst."},{"issue":"2","key":"1977_CR39","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.dsp.2015.10.006","volume":"49","author":"SP Maity","year":"2016","unstructured":"S.P. Maity, S. Chatterjee, T. Acharya, On optimal fuzzy c-means clustering for energy efficient cooperative spectrum sensing in cognitive radio networks. Digital Signal Process. 49(2), 104\u2013115 (2016)","journal-title":"Digital Signal Process."}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-021-01977-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13638-021-01977-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-021-01977-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T12:59:07Z","timestamp":1671800347000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-021-01977-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,7]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["1977"],"URL":"https:\/\/doi.org\/10.1186\/s13638-021-01977-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-166695\/v1","asserted-by":"object"}]},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,7]]},"assertion":[{"value":"22 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"84"}}