{
    "ok": true,
    "doi": "10.46243/jstj.2019.v4.i5.74",
    "doi_display": "10.46243/jstj.2019.v4.i5.74",
    "doi_url": "https://doi.org/10.46243/jstj.2019.v4.i5.74",
    "state": "registered",
    "url": "https://www.jst.org.in/index.php/pub/article/view/72",
    "title": "Performance Analysis of Cognitive Radio Network Using Enhanced Stimulated Annealing Algorithm",
    "version": 2,
    "registered_via": "crossref",
    "prefix": {
        "prefix": "10.46243",
        "status": "live"
    },
    "registrant": {
        "name": "Longman Publishers",
        "kind": "publisher",
        "country": "India"
    },
    "reserved_at": null,
    "registered_at": "2026-09-29 22:00:32",
    "updated_at": "2026-09-29 23:59:52",
    "withdrawn_at": null,
    "withdrawn_reason": null,
    "record": {
        "format": "smartscholars-doi-metadata/1.0",
        "doi": "10.46243/jstj.2019.v4.i5.74",
        "referent": "Creation",
        "type": "JournalArticle",
        "structural_type": "Digital",
        "modes": [
            "Visual"
        ],
        "characters": [
            "Language"
        ],
        "titles": [
            {
                "value": "Performance Analysis of Cognitive Radio Network Using Enhanced Stimulated Annealing Algorithm",
                "type": "PrincipalTitle",
                "lang": "en"
            }
        ],
        "identifiers": [
            {
                "type": "DOI",
                "value": "10.46243/jstj.2019.v4.i5.74"
            }
        ],
        "agents": [
            {
                "role": "author",
                "name": {
                    "given": "Ramya",
                    "family": "Jyothi N V S S"
                },
                "sequence": "first"
            },
            {
                "role": "author",
                "name": {
                    "given": "Dr.B.",
                    "family": "LeelaKumari"
                },
                "sequence": "additional"
            },
            {
                "role": "publisher",
                "name": {
                    "org": "Longman Publishers"
                }
            }
        ],
        "dates": {
            "published": "2019-09-01",
            "date_type": "PublicationDate",
            "online": "2019-09-01"
        },
        "language": "en",
        "container": {
            "type": "Journal",
            "titles": [
                {
                    "value": "Journal of Science & Technology",
                    "type": "PrincipalTitle"
                }
            ],
            "identifiers": [
                {
                    "type": "ISSN",
                    "value": "2456-5660",
                    "medium": "electronic"
                }
            ],
            "volume": "04",
            "issue": "05",
            "pages": {
                "first": "01",
                "last": "06"
            }
        },
        "links": [
            {
                "url": "https://www.jst.org.in/index.php/pub/article/view/72",
                "return_type": "text/html",
                "primary": true
            },
            {
                "url": "https://www.jst.org.in/index.php/pub/article/download/72/3894",
                "purpose": "text-mining",
                "return_type": "application/pdf"
            },
            {
                "url": "https://www.jst.org.in/index.php/pub/article/download/72/3233",
                "purpose": "text-mining",
                "return_type": "application/xml"
            }
        ],
        "abstract": {
            "value": "This document presents the optimization of quality of service for unlicensed subscribers anticipating the QoS of the primary users as well. The concept of cognitive radio came into existence for the exclusive use of the unused spectrum space by the licensed users. The unlicensed user or the secondary users use the unoccupied spectrum spaces of licensed user's spectrum for the effective usage of the spectrum. The use of live streaming, Voice over Internet protocol(VoIP) and multi media applications which are delay sensitive applications throughout the session. The constraints like delay and throughput and the quality of service are affected due to these applications. To overcome these constraints the tradeoff between these parameters must be employed. In this paper, an extension to the non-work conservation policy is implemented in Cognitive radio network(CRN) by using the optimization algorithm known as Enhanced stimulated annealing(ESA) algorithm to bring forth the tradeoff between delay and throughput.",
            "lang": "en"
        },
        "license": {
            "url": "https://creativecommons.org/licenses/by/4.0/",
            "start": "2019-09-01",
            "applies_to": "vor"
        },
        "references": [
            {
                "key": "ref1",
                "doi": "10.1109/jsac.2004.839380",
                "unstructured": "iHaykin, iSimon. i(2005). iHaykin, iS.: iCognitive iradio: iBrain-empowered iwireless icommunications. iIEEE iJSAC i23(2), i201-220. iSelected iAreas iin iCommunications, iIEEE iJournal ion. i23. i201 i- i220. i10.1109/JSAC.2004.839380"
            },
            {
                "key": "ref2",
                "unstructured": "iAdel iM. iElmahdy, iAmr iEl-Keyi, iTamer iElBatt, iSenior iMember, iIEEE, iand iKarim iG. iSeddik, iSenior iMember, i“Optimizing iCooperative iCognitive iRadio iNetworks iPerformance iwith iPrimary iQoS iProvisioning”, iIEEE iTRANSACTIONS iON iCOMMUNICATIONS, iVOL. i65, iNO. i4, iAPRIL i2017"
            },
            {
                "key": "ref3",
                "unstructured": "iJ.kanti, iG. iS. iTomar, iand iA. iBagwari, i“A inovel imultiple iantennas ibased icentralized ispectrum isensing itechnique,” iin iTransactions ion iComputational iScience, ivol. i10220 iof iLecture iNotes iin iComputer iScience, ipp. i64–85, iSpringer, iBerlin, i2017"
            },
            {
                "key": "ref4",
                "unstructured": "iA. iBagwari, iG. iS. iTomar, iand iS. iVerma, i“Cooperative ispectrum isensing ibased ion itwo-stage idetectors iwith imultiple ienergy idetectors iand iadaptive idouble ithreshold iin icognitive iradio inetworks,” iCanadian iJournal iof iElectrical iand iComputer iEngineering, ivol. i36, ino. i4, iArticle iID i6776586, ipp. i172–180, i2013"
            },
            {
                "key": "ref5",
                "unstructured": "iL. iKleinrock, iQueueing iSystems: iTheory, ivol. i1. iNew iYork, iNY, iUSA: iWiley, i1975"
            },
            {
                "key": "ref6",
                "doi": "10.1023/b:coap.0000044187.23143.bd",
                "unstructured": "iBen-Ameur, iWalid.(2004). iComputing ithe iInitial iTemperature iof iSimulated iAnnealing. iComputational iOptimization iand iApplications.29.369- 385.10.1023/B:COAP.0000044187.23143.bd"
            },
            {
                "key": "ref7",
                "unstructured": "iG.E. iNasr, iA. iHarb iand iG. iMeghabghab “Enhanced iSimulated iAnnealing iTechniques ifor iMultiprocessorScheduling” iProceedings iof ithe i12th iInternational iFLAIRS iConference"
            },
            {
                "key": "ref8",
                "unstructured": "iMohdRizam iAbu iBakar, iAbdul iJabbar iKhudhurBakheet, iFarah iKamil, iBayda iAtiya iKalaf, iIraq iT. iAbbas, iand iLee iLai iSoon, i“Enhanced iSimulated iAnnealing ifor iSolving iAggregate iProduction iPlanning,” iMathematical iProblems iin iEngineering, ivol. i2016, iArticle iID i1679315"
            },
            {
                "key": "ref9",
                "unstructured": "iM. iAshour, iA. iA. iEl-Sherif, iT. iElBatt, iand iA. iMohamed, i“Cognitiveradio inetworks iwith iprobabilistic irelaying: iStable ithroughput iand idelaytradeoffs,” iIEEE iTrans. iCommun., ivol. i63, ino. i11, ipp. i4002–4014,Nov. i2015. [10]A. iM. iElmahdy, iA. iEl-Keyi, iT. iElBatt, iand iK. iG. iSeddik, i“On ioptimizingcooperative icognitive iuser iperformance iunder iprimary iQoSconstraints,” iin iProc. iIEEE iWireless iCommun. iNetw. iConf. i(WCNC),Apr. i2016, ipp. i1–7"
            }
        ],
        "record": {
            "registrant": "Longman Publishers",
            "registered": "2026-09-07",
            "updated": "2026-09-28",
            "issue_number": 1,
            "source": "crossref-api",
            "source_agency": "Crossref (member 25296)"
        }
    },
    "record_sha256": "80fc7b6f742298996cd214f159c43a063e7940da6041d624b3252290af793feb",
    "handle": {
        "synced_at": "2026-10-01 18:13:27",
        "url": "https://www.jst.org.in/index.php/pub/article/view/72"
    },
    "links": {
        "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjstj.2019.v4.i5.74",
        "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2019.v4.i5.74&as=system",
        "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjstj.2019.v4.i5.74",
        "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjstj.2019.v4.i5.74&as=xml"
    }
}