Data-driven modelling and prediction of coap throughput in a grid network topology

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dc.contributor.authorDemir, Alper Kamil
dc.contributor.authorAbut, Fatih
dc.date.accessioned2025-01-06T17:30:24Z
dc.date.available2025-01-06T17:30:24Z
dc.date.issued2020
dc.description.abstractIn this study, we propose new models for predicting the average throughput in a 4x4 grid Constrained Application Protocol (CoAP)-based IoT network using Support Vector Machine (SVM) and Multiple Linear Regression (MLR). Two different CoAP congestion control mechanisms have been considered: the default CoAP congestion control (CC) and the CoAP Simple Congestion Control/Advanced (CoCoA). On the client-side, we run 3, 6, 9, 12 or 15 CoAP clients requesting packets, sized with 12, 24, 36 or 48 bytes, from different CoAP servers over 4x4 grid IoT network configured with packet delivery ratios of 90, 95 or 100. In total, 60 different experimental scenarios, each of which was run 10 times to determine the average throughput of default CoAP CC and CoCoA clients, were created. Using 10-fold cross-validation, the performance of the prediction models has been evaluated using several performance metrics. The results show that combining packet delivery ratio and number of concurrently sending clients in a model leads to the highest correlation with the average CoAP throughput of the IoT network. Particularly, this model produces the lowest prediction error among all SVM-based and MLR-based models, regardless of whether the default CoAP CC or CoCoA is used as the congestion control mechanism. © 2020, TUBITAK. All rights reserved.
dc.identifier.doi10.31202/ecjse.640824
dc.identifier.endpage303
dc.identifier.issn2148-3736
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85095783619
dc.identifier.scopusqualityQ4
dc.identifier.startpage295
dc.identifier.trdizinid385657
dc.identifier.urihttps://doi.org/10.31202/ecjse.640824
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/385657
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1588
dc.identifier.volume7
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherTUBITAK
dc.relation.ispartofEl-Cezeri Journal of Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectCoAP
dc.subjectCoCoA
dc.subjectContiki OS
dc.subjectInternet of Things
dc.subjectThroughput Prediction
dc.titleData-driven modelling and prediction of coap throughput in a grid network topology
dc.title.alternativeBir Izgara Ağı Topolojisi Üzerinde CoAP’ın Veriye Dayalı Modellemesi ve Verimliliğinin Tahmini
dc.typeArticle

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