Abstract
In this paper, we investigate if an analytical model can be used to estimate the load on the vehicular communication channel. We design a queueing model for estimating the probability distribution of Cooperative Awareness Message generation rates in a highway environment. The results are compared with a real world vehicular traffic trace on a highway and also with a vehicular communication simulator using Veins and SUMO for more complicated traffic scenarios involving acceleration and deceleration ramps. Comparing the results shows the probability distribution of the message generation rates predicted by our model to be within the 95% confidence interval of the distribution obtained from the traffic trace and the simulation.
| Original language | English |
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| Title of host publication | 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-9722-7, 978-1-7281-9721-0 |
| ISBN (Print) | 978-1-7281-9723-4 |
| DOIs | |
| Publication status | Published - 16 Nov 2020 |
| Event | 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020 - Online Duration: 12 Oct 2020 → 14 Oct 2020 Conference number: 16 http://www.wimob.org/wimob2020/ |
Conference
| Conference | 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020 |
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| Abbreviated title | WiMob |
| Period | 12/10/20 → 14/10/20 |
| Internet address |
Keywords
- Vehicular communication
- Cooperative awareness messages
- Queueing theory
- Veins
- SUMO
- 22/3 OA procedure