Analysis of molecular communication model via diffusion with cumulative distribution functions

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dc.contributor.authorIsik, Ibrahim
dc.contributor.authorIsik, Esme
dc.contributor.authorAtes, Abdullah
dc.date.accessioned2024-08-04T20:56:05Z
dc.date.available2024-08-04T20:56:05Z
dc.date.issued2024
dc.departmentİnönü Üniversitesien_US
dc.description.abstractMolecular Communication (MOC), a novel communication method between nano-sized devices, has gained attention in recent literature. Numerous MOC models have been utilized to analyze factors such as the number of molecules reaching the receiver and the molecule-interference ratio. However, a common trend observed in the existing MOC models is the predominant use of the Normal distribution function to describe the movement of carrier molecules within the diffusion medium. In contrast to the existing literature, this study aims to thoroughly investigate alternative distribution functions for the diffusion of molecules in the medium, taking into consideration the number of received molecules, in order to identify the MOC model with optimal performance. In this study, the performance of various distribution functions including extreme value distribution (EVRND), normal distribution (NRND), t-distribution (TRND), generalized extreme value distribution (GEVRND), and generalized Pareto distribution (GPRND) were compared using different system parameters to identify the best MOC model. The analysis revealed that the GPRND distribution exhibited the highest performance, while the NRND distribution demonstrated the lowest performance. Given the prevalent use of the NRND distribution in analyzing MOC models within the literature, the significance of this study is further underscored.en_US
dc.identifier.doi10.17341/gazimmfd.1296267
dc.identifier.endpage2362en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85195825786en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage2353en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.1296267
dc.identifier.urihttps://hdl.handle.net/11616/102049
dc.identifier.volume39en_US
dc.identifier.wosWOS:001272222700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of The Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMolecular communicationen_US
dc.subjectsystem parameteren_US
dc.subjectdistribution functionsen_US
dc.subjectnumber of received moleculesen_US
dc.titleAnalysis of molecular communication model via diffusion with cumulative distribution functionsen_US
dc.typeArticleen_US

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