A New Fog-Based Transmission Scheduler on the Internet of Multimedia Things Using a Fuzzy-Based Quantum Genetic Algorithm

dc.authoridAl-Khafaji, Hamza Mohammed Ridha/0000-0003-3620-581X
dc.authoridZanbouri, Kouros/0000-0003-0252-8282
dc.authorwosidJafari Navimipour, Nima/AAF-5662-2021
dc.authorwosidAl-Khafaji, Hamza Mohammed Ridha/D-6335-2019
dc.authorwosidZanbouri, Kouros/C-5031-2019
dc.contributor.authorJafari Navimipour, Nima
dc.contributor.authorAl-Khafaji, Hamza Mohammed Ridha
dc.contributor.authorNavimipour, Nima Jafari
dc.contributor.authorYalcin, Senay
dc.date.accessioned2024-10-15T19:38:52Z
dc.date.available2024-10-15T19:38:52Z
dc.date.issued2023
dc.departmentKadir Has Universityen_US
dc.department-temp[Zanbouri, Kouros] Islamic Azad Univ, Dept Comp Engn, Tabriz Branch, Tabriz, Iran; [Al-Khafaji, Hamza Mohammed Ridha] Al Mustaqbal Univ Coll, Biomed Engn Dept, Hillah, Babil, Iraq; [Navimipour, Nima Jafari] Kadir Has Univ, Fac Engn & Nat Sci, Dept Comp Engn, Istanbul, Turkiye; [Navimipour, Nima Jafari] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, Touliu 64002, Yunlin, Taiwan; [Yalcin, Senay] Nisantasi Univ, Dept Comp Engn, TR-34485 Istanbul, Turkiyeen_US
dc.descriptionAl-Khafaji, Hamza Mohammed Ridha/0000-0003-3620-581X; Zanbouri, Kouros/0000-0003-0252-8282en_US
dc.description.abstractThe Internet of Multimedia Things (IoMT) has recently experienced a considerable surge in multimedia-based services. Due to the fast proliferation and transfer of massive data, the IoMT has service quality challenges. This article proposes a novel fog-based multimedia transmission scheme for the IoMT using the Sugano interference system with a quantum genetic optimization algorithm. The fuzzy system devises a mathematically organized strategy for generating fuzzy rules from input and output variables. The quantum genetic algorithm (QGA) is a metaheuristic algorithm that combines genetic algorithms and quantum computing theory. It combines many critical elements of quantum computing, such as quantum superposition and entanglement. This provides a robust representation of population diversity and the capacity to achieve rapid convergence and high accuracy. As a result of the simulations and computational analysis, the proposed fuzzy-based QGA scheme improves the packet delivery ratio and throughput by reducing end-to-end latency and delay when compared to traditional algorithms like genetic algorithm, particle swarm optimization, heterogeneous earliest finish time, and ant colony optimization. Consequently, it provides a more efficient scheme for multimedia transmission in the IoMT.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citation1
dc.identifier.doi10.1109/MMUL.2023.3247522
dc.identifier.endpage86en_US
dc.identifier.issn1070-986X
dc.identifier.issn1941-0166
dc.identifier.issue3en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage74en_US
dc.identifier.urihttps://doi.org/10.1109/MMUL.2023.3247522
dc.identifier.urihttps://hdl.handle.net/20.500.12469/6289
dc.identifier.volume30en_US
dc.identifier.wosWOS:001083297000007
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherIeee Computer Socen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithmsen_US
dc.subjectInternet of Thingsen_US
dc.subjectOptimizationen_US
dc.subjectMultimedia systemsen_US
dc.subjectCloud computingen_US
dc.subjectQuantum computingen_US
dc.subjectEdge computingen_US
dc.subjectAudio systemsen_US
dc.subjectStreaming mediaen_US
dc.titleA New Fog-Based Transmission Scheduler on the Internet of Multimedia Things Using a Fuzzy-Based Quantum Genetic Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication0fb3c7a0-c005-4e5f-a9ae-bb163df2df8e
relation.isAuthorOfPublication.latestForDiscovery0fb3c7a0-c005-4e5f-a9ae-bb163df2df8e

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