SOHCL-RDT: A self-organized hybrid cross-layer design for reliable data transmission in wireless network

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dc.authoridSalah, Bashir/0000-0003-2709-760X
dc.authoridIvkovic, Nikola/0000-0003-1730-2518
dc.authorwosidSalah, Bashir/ABC-5845-2020
dc.authorwosidSah, Dinesh/A-4912-2018
dc.contributor.authorCengiz, Korhan
dc.contributor.authorKumari, Rani
dc.contributor.authorSah, Dinesh Kumar
dc.contributor.authorIvkovic, Nikola
dc.contributor.authorSalah, Bashir
dc.date.accessioned2024-05-19T14:50:24Z
dc.date.available2024-05-19T14:50:24Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn this paper, we propose SOHCL-RDT'' which stands for a self-organized hybrid cross-layer design for reliable data transmission in wireless network. The communication paradigm is changing and new approach related to machine learning or other optimization algorithms are being introduce rapidly. The TCP/IP or OSI model is not at all equipped to accommodate such a vast changes in its established protocol stacks. Considering this, we have proposed the hybrid cross layer design where the communication or transmission will be handle using two set of protocol stack. One set for the established classical network, and another using cross layer approach. Our design leverages the strengths of both the physical and MAC layers to optimize packet transmission and minimize energy consumption. An optimization algorithm based on gradient descent is also developed to adjust transmission parameters in real-time. The objective is to invoke the classical model only when it needed; it means until unless gradient descent is able to make classification regarding the node scheduling and achieve the acknowledgment, the TCP/IP protocol stack will be in deactivation. Using this method, we have performed our experiments mainly on two parameters named as packet delivery ratio (PDR), end-to-end delay (E2ED); because these are important aspect of reliability. In addition to that, the energy consumption of network is also compared with the existing algorithms. The results show that the proposed hybrid cross-layer design outperforms the existing algorithms. The performance gain can be attributed to the cross-layer approach and the use of the optimization algorithm. Overall, the proposed hybrid cross-layer design is a promising solution for reliable data transmission in wireless sensor networks, with the potential to improve network performance and prolong network lifetime by reducing energy consumption.& COPY; 2023 Published by Elsevier B.V.en_US
dc.description.sponsorshipKing Saud University, Saudi Arabia [RSP2023 R145]en_US
dc.description.sponsorshipFunding This study received funding from King Saud University, Saudi Arabia through researchers supporting project number (RSP2023 R145) .en_US
dc.identifier.doi10.1016/j.phycom.2023.102132
dc.identifier.issn1874-4907
dc.identifier.scopus2-s2.0-85169818417en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org10.1016/j.phycom.2023.102132
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5696
dc.identifier.volume60en_US
dc.identifier.wosWOS:001052087600001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofPhysical Communicationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectWsnsen_US
dc.subjectHuman-Centric Systemsen_US
dc.subjectCldsen_US
dc.subjectMachine Learningen_US
dc.subjectHybridizationen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectRlen_US
dc.titleSOHCL-RDT: A self-organized hybrid cross-layer design for reliable data transmission in wireless networken_US
dc.typeArticleen_US

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