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Internet Provisioning in VANETs: Performance Modeling of Drive-Thru Scenarios
Department of Telecommunications and Information, Ghent University, Gent, Belgium.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES). Department of Electrical Engineering, Western Norway University of Applied Sciences, Bergen, Norway.ORCID iD: 0000-0003-4894-4134
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-1460-2988
Department of Telecommunications and Information, Ghent University, Gent, Belgium.ORCID iD: 0000-0002-5284-602X
2019 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, p. 1-15Article in journal (Refereed) Epub ahead of print
Abstract [en]

Drive-thru-Internet is a scenario in cooperative intelligent transportation systems (C-ITSs), where a road-side unit (RSU) provides multimedia services to vehicles that pass by. Performance of the drive-thru-Internet depends on various factors, including data traffic intensity, vehicle traffic density, and radio-link quality within the coverage area of the RSU, and must be evaluated at the stage of system design in order to fulfill the quality-of-service requirements of the customers in C-ITS. In this paper, we present an analytical framework that models downlink traffic in a drive-thru-Internet scenario by means of a multidimensional Markov process: the packet arrivals in the RSU buffer constitute Poisson processes and the transmission times are exponentially distributed. Taking into account the state space explosion problem associated with multidimensional Markov processes, we use iterative perturbation techniques to calculate the stationary distribution of the Markov chain. Our numerical results reveal that the proposed approach yields accurate estimates of various performance metrics, such as the mean queue content and the mean packet delay for a wide range of workloads. © 2019 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 1-15
Keywords [en]
Wireless networks, vehicular ad hoc networks, queueing analysis
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-39539DOI: 10.1109/TITS.2019.2918075OAI: oai:DiVA.org:hh-39539DiVA, id: diva2:1320501
Funder
Knowledge FoundationEU, Horizon 2020Swedish Foundation for Strategic Research ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2019-06-05 Created: 2019-06-05 Last updated: 2019-08-09

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Vinel, AlexeyLyamin, Nikita

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