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dc.contributor.authorChao, Hsi-Luen_US
dc.contributor.authorLou, TakChonen_US
dc.contributor.authorJiang, Shuhuaen_US
dc.date.accessioned2019-04-02T05:58:55Z-
dc.date.available2019-04-02T05:58:55Z-
dc.date.issued2011-07-01en_US
dc.identifier.issn1022-0038en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11276-010-0316-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/150323-
dc.description.abstractOne of the most challenging issues in cognitive radio (CR) systems is channel sensing and accessing. In this paper, a CR channel access mechanism is proposed. The mechanism consists of two phases: fast channel accessing and proactive channel vacating. In fast channel accessing, a pair of CR users time-efficiently searches an available channel to deliver data. In proactive channel vacating, a pair of CR users periodically makes channel access opportunities to primary users (PUs) and vacates the occupied channel as quick as possible. We utilize the concept of channel hopping to reduce the average channel searching time. Furthermore, our vacating mechanism allows CR users to create opportunities for PUs to claim the spectrum and thus minimize the caused interference to PUs. We evaluate the performance of our approach through a two-dimensional Markov chain model as well as simulations. The performance study indicates that the proposed protocol achieves low channel searching time, high throughput, and fairness.en_US
dc.language.isoen_USen_US
dc.subjectChannel hoppingen_US
dc.subjectChannel sensingen_US
dc.subjectChannel vacatingen_US
dc.subjectCognitive radioen_US
dc.titleF-2-MAC: an efficient channel sensing and access mechanism for cognitive radio networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11276-010-0316-5en_US
dc.identifier.journalWIRELESS NETWORKSen_US
dc.citation.volume17en_US
dc.citation.spage1113en_US
dc.citation.epage1126en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000291479200001en_US
dc.citation.woscount4en_US
Appears in Collections:Articles