Optimizing Vehicular Safety Message Communications by Adopting Transmission Probability With CW Size

Vehicular ad hoc networks (VANETs) will have noteworthy breakthroughs with the upcoming 5G and 6G technologies. In VANETs, the performance changes with traffic, contention window (CW) size, and vehicle velocity. Since the velocity and number of vehicles are not controllable, CW size will be optimize...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.118849-118857
Main Authors: Shahen Shah, A. F. M., Karabulut, Muhammet Ali, Ilhan, Haci, Tureli, Ufuk
Format: Article
Language:English
Subjects:
Controllability
CW size
delay
Delays
IEEE 802.11p Standard
Markov chains
Mathematical models
Messages
Mobile ad hoc networks
Monte Carlo simulation
Optimization
Parameters
Safety
safety messages
Simulation
Throughput
Time division multiple access
VANETs
Vehicle safety
Vehicles
Vehicular ad hoc networks
Velocity
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Summary:Vehicular ad hoc networks (VANETs) will have noteworthy breakthroughs with the upcoming 5G and 6G technologies. In VANETs, the performance changes with traffic, contention window (CW) size, and vehicle velocity. Since the velocity and number of vehicles are not controllable, CW size will be optimized to maximize performance. In this paper, performance is optimized for highly important safety messages (sm) in VANETs by optimizing CW size with respect to number of vehicles and vehicle velocity. If any of these parameters (velocity and/or number of vehicles) changes, CW size will be dynamically adjusted to keep performance at optimum level. The comparison between IEEE 802.11 and IEEE 802.11p for sm in VANETs is presented where performance is maximized for both IEEE 802.11 and IEEE 802.11p. Markov chain based analytical model is developed and optimum expressions are derived. SUMO is used to build the microscopic mobility model. Monte Carlo simulation results are provided which verify analytical study and demonstrate that the performance is maximized regardless of parameters variation.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3221418