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dc.contributor.authorRavi, Banoth
dc.contributor.authorVarghese, Blesson
dc.contributor.authorMurturi, Ilir
dc.contributor.authorDonta, Praveen Kumar
dc.contributor.authorDustdar, Schahram
dc.contributor.authorDehury, Chinmaya Kumar
dc.contributor.authorSriram, Satish Narayana
dc.identifier.citationRavi , B , Varghese , B , Murturi , I , Donta , P K , Dustdar , S , Dehury , C K & Sriram , S N 2023 , ' Stochastic modeling for intelligent software defined vehicular networks : a survey ' , Computers , vol. 12 , no. 8 , 162 .
dc.descriptionFunding: This work is partially supported by SERB, India, through grant CRG/2021/003888. We also thank financial support to UoH-IoE by MHRD, India (F11/9/2019-U3(A)).en
dc.description.abstractDigital twins and the Internet of Things (IoT) have gained significant research attention in recent years due to their potential advantages in various domains, and vehicular ad hoc networks (VANETs) are one such application. VANETs can provide a wide range of services for passengers and drivers, including safety, convenience, and information. The dynamic nature of these environments poses several challenges, including intermittent connectivity, quality of service (QoS), and heterogeneous applications. Combining intelligent technologies and software-defined networking (SDN) with VANETs (termed intelligent software-defined vehicular networks (iSDVNs)) meets these challenges. In this context, several types of research have been published, and we summarize their benefits and limitations. We also aim to survey stochastic modeling and performance analysis for iSDVNs and the uses of machine-learning algorithms through digital twin networks (DTNs), which are also part of iSDVNs. We first present a taxonomy of SDVN architectures based on their modes of operation. Next, we survey and classify the state-of-the-art iSDVN routing protocols, stochastic computations, and resource allocations. The evolution of SDN causes its complexity to increase, posing a significant challenge to efficient network management. Digital twins offer a promising solution to address these challenges. This paper explores the relationship between digital twins and SDN and also proposes a novel approach to improve network management in SDN environments by increasing digital twin capabilities. We analyze the pitfalls of these state-of-the-art iSDVN protocols and compare them using tables. Finally, we summarize several challenges faced by current iSDVNs and possible future directions to make iSDVNs autonomous.
dc.subjectInternet of Thingsen
dc.subjectVehicular ad hoc networksen
dc.subjectSoftware-defined networksen
dc.subjectIntelligent digital twin networksen
dc.subjectStochastic modeling and performance evaluationen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.titleStochastic modeling for intelligent software defined vehicular networks : a surveyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.description.statusPeer revieweden

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