Cognitive Sensor Network-Based Emergency Notification in Smart Agriculture

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dc.authoridBayrakdar, Muhammed Enes/0000-0001-9446-0988
dc.contributor.authorDemirturk, Burak
dc.contributor.authorBayrakdar, Muhammed Enes
dc.date.accessioned2025-10-11T20:48:14Z
dc.date.available2025-10-11T20:48:14Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIn this study, a cognitive radio sensor network based on IEEE 802.11af technology is proposed for agricultural data with priority classes in smart agriculture. In IEEE 802.11af technology, the white space device (WSD), station (STA), and access point (AP) communicate over the television white spectrum without causing any harmful interference to primary services. In the proposed network structure, WSDs, STA, and AP use the frequency division multiple access (FDMA) technique to communicate over the white space spectrum determined by the white space map (WSM). WSD collects data, such as temperature, humidity, and pressure, from sensors in agricultural areas. The priority class is determined as red, yellow, and green. Depending on the emergency of the agricultural data, the aging solution is adopted for starvation mitigation in the queue. After the analytical model of the proposed network was obtained, the simulation model was implemented using Riverbed Modeler. The graphical results prove the validity and feasibility of the proposed network without any spectrum cost for monitoring priority-based agricultural data.en_US
dc.identifier.doi10.1109/JSEN.2024.3505267
dc.identifier.endpage3639en_US
dc.identifier.issn1530-437X
dc.identifier.issn1558-1748
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85211497076en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3631en_US
dc.identifier.urihttps://doi.org/10.1109/JSEN.2024.3505267
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21824
dc.identifier.volume25en_US
dc.identifier.wosWOS:001397848200042en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Sensors Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectMonitoringen_US
dc.subjectWireless sensor networksen_US
dc.subjectWhite spacesen_US
dc.subjectTVen_US
dc.subjectCognitive radioen_US
dc.subjectWireless communicationen_US
dc.subjectIntelligent sensorsen_US
dc.subjectCostsen_US
dc.subjectDatabasesen_US
dc.subjectTemperature sensorsen_US
dc.subjectIEEE 802.11afen_US
dc.subjectpriorityen_US
dc.subjectsmart agricultureen_US
dc.subjectwireless sensor networksen_US
dc.titleCognitive Sensor Network-Based Emergency Notification in Smart Agricultureen_US
dc.typeArticleen_US

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