Research Article
802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application
@INPROCEEDINGS{10.1007/978-3-319-93710-6_24, author={Samodha Pallewatta and Poorni Lakmali and Sandini Wijewardana and Pabasara Ranathunga and Tharaka Samarasinghe and Dileeka Dias}, title={802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application}, proceedings={Intelligent Transport Systems -- From Research and Development to the Market Uptake. First International Conference, INTSYS 2017, Hyvink\aa{}\aa{}, Finland, November 29-30, 2017, Proceedings}, proceedings_a={INTSYS}, year={2018}, month={7}, keywords={Vehicular ad-hoc networks WAVE IEEE 802.11p DSRC VEINS SUMO OMNET++ Autonomous driving Intelligent Transportation Systems}, doi={10.1007/978-3-319-93710-6_24} }
- Samodha Pallewatta
Poorni Lakmali
Sandini Wijewardana
Pabasara Ranathunga
Tharaka Samarasinghe
Dileeka Dias
Year: 2018
802.11p: Insights from the MAC and Physical Layers for a Cooperate Car Following Application
INTSYS
Springer
DOI: 10.1007/978-3-319-93710-6_24
Abstract
We present a simulation study of a cooperate car following application implemented by the Wireless Access for Vehicular Environments (WAVE) protocol stack, which uses the MAC and Physical layers defined by the IEEE 802.11p protocol. This is a simple Intelligent Transportation Systems (ITS) application which forms the foundation for autonomous driving. As with many safety-critical ITS applications, cooperate car following uses beaconing as the primary means of communication. The beacon frequency and the transmit power of the mobile nodes are considered as the key communication parameters, while the vehicle density is considered as the key traffic parameter. The two main factors affecting the performance, the end-to-end delay and the packet loss, are studied for different scenarios defined by the above parameters. Results indicate how the application performance may be improved by adapting the beacon frequency and/or the transmit power according to the vehicular traffic density.