dc.contributor.author | Simpson, Oluyomi | |
dc.contributor.author | Sun, Yichuang | |
dc.date.accessioned | 2020-04-01T00:07:35Z | |
dc.date.available | 2020-04-01T00:07:35Z | |
dc.date.issued | 2020-04-01 | |
dc.identifier.citation | Simpson , 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.issn | 2161-3915 | |
dc.identifier.uri | http://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.abstract | In 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.extent | 17 | |
dc.format.extent | 1691551 | |
dc.language.iso | eng | |
dc.relation.ispartof | Transactions on Emerging Telecommunications Technologies | |
dc.subject | Dempter-Shafter theory | |
dc.subject | ambiguity measure | |
dc.subject | cognitive radio | |
dc.subject | cooperative spectrum sensing | |
dc.subject | credibility | |
dc.subject | data fusion | |
dc.subject | Electrical and Electronic Engineering | |
dc.title | Efficient Evidence-based Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks | en |
dc.contributor.institution | Department of Engineering and Technology | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | Centre for Engineering Research | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2021-02-27 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85081358739&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1002/ett.3901 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |