Modelling the packet delivery of V2V messages based on the macroscopic traffic parameters

Aashik Chandramohan, Geert Heijenk

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

In this paper, we present an analytical model for estimating the Packet Delivery Ratio (PDR) in vehicular communication using IEEE 802.11p protocol for a highway scenario based on the macroscopic traffic parameters. We also consider the effects of Decentralised Congestion Control (DCC) based on Transmit Rate in improving the PDR. The model is validated using a simulation environment based on Artery and its estimation of the PDR is found to be within 1 % deviation of the PDR calculated from the simulation environment. We also show a use case of our model in identifying the correct DCC parameters at which the DCC will be activated based on the macroscopic traffic parameters.
Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-6654-8243-1
DOIs
Publication statusPublished - 25 Aug 2022
EventIEEE 95th Vehicular Technology Conference, VTC 2022-Spring - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022
Conference number: 95

Conference

ConferenceIEEE 95th Vehicular Technology Conference, VTC 2022-Spring
Abbreviated titleVTC 2022-Spring
Country/TerritoryFinland
CityHelsinki
Period19/06/2222/06/22

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