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dc.contributor.authorSimpson, Oluyomi
dc.contributor.authorSun, Yichuang
dc.date.accessioned2020-04-01T00:07:35Z
dc.date.available2020-04-01T00:07:35Z
dc.date.issued2020-04-01
dc.identifier.citationSimpson , O & Sun , Y 2020 , ' Efficient Evidence-based Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks ' , Transactions on Emerging Telecommunications Technologies , vol. 31 , no. 4 , e3901 . https://doi.org/10.1002/ett.3901
dc.identifier.issn2161-3915
dc.identifier.otherPURE: 13770101
dc.identifier.otherPURE UUID: 17126d8b-ba79-4af8-8b4b-a459cacefb1e
dc.identifier.otherScopus: 85081358739
dc.identifier.urihttp://hdl.handle.net/2299/22536
dc.description© 2020 John Wiley & Sons, Ltd.. This is the accepted version of the following article: Simpson, O, Sun, Y. Efficient evidence‐based decision fusion scheme for cooperative spectrum sensing in cognitive radio networks. Trans Emerging Tel Tech. 2020;e3901., which has been published in final form at https://doi.org/10.1002/ett.3901.
dc.description.abstractIn this article, an evidence based decision fusion cooperative spectrum sensing (CSS) schemes has been considered for overcoming the hidden terminal problem, improving reliability, and increasing SU agility. Under practical conditions, the combination of conflicting evidences with the classical Dempster‐Shafer theory (DS theory) rule may produce counter‐intuitive results when combining the secondary users (SUs) sensing data evidence leading to poor CSS performance. In order to overcome and minimize the effect of conflicting data, and to enhance performance of the CSS system, a novel efficient evidence‐based decision fusion scheme CSS is proposed. The approach is based on the credibility of evidence from the SUs sensing decision, which represents the similarity or the relation among the different SUs sensing data evidence, and a dissociability degree measure that indicates the quality or clarity of the SUs sensing data evidence. Furthermore, a weighted averaging factor determined by the credibility and dissociability of the SU sensing data evidence is proposed. Simulation results presented show that under practical conditions the proposed scheme enhances the performance of the CSS system when compared to traditional fusion rules that do not take into account the difference in local sensing reliability between the SUs.en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofTransactions on Emerging Telecommunications Technologies
dc.subjectDempter-Shafter theory
dc.subjectambiguity measure
dc.subjectcognitive radio
dc.subjectcooperative spectrum sensing
dc.subjectcredibility
dc.subjectdata fusion
dc.subjectElectrical and Electronic Engineering
dc.titleEfficient Evidence-based Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networksen
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionCentre for Engineering Research
dc.description.statusPeer reviewed
dc.date.embargoedUntil2021-02-27
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85081358739&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1002/ett.3901
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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