Friday, August 6, 2021 - 14:30 to 16:30
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Defense by: Srihari Jayachandran
Date: Friday August 6th, 2021
Teams Online Link: Click here to join the meeting
Vehicular Ad Hoc Networks (VANET) supporting Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (v2I) communication can increase the efficiency and safety of the road transportation systems. VANET typically uses wireless communication technology and in scenarios with high vehicle densities, the communication channel faces congestion, negatively impacting the reliability of the safety applications. To prevent this, the European Telecommunication Standards Institute (ETSI) has proposed the Decentralized Congestion Control (DCC) methodology to effectively control the channel load, by controlling various message transmission parameters like message rate, data rate and transmission power. Currently, most research works focus on the transmission power to control congestion, while the other approaches such as data rate and message rate control are less common. In this research, a data rate control algorithm has been proposed to control the network congestion based on the Channel Busy Ratio (CBR). For the simulations, real world scenarios generated through SUMO are considered. After comparing the results with other data rate control algorithms, the proposed approach is anticipated to perform better in the scenarios where the CBR is dynamic and high.
Keywords: Channel Busy Ratio (CBR), Simulation of Urban Mobility (SUMO), Congestion, Simulation, Data Rate.
MSc Thesis Committee:
Internal Reader: Dr. Saja Al Mamoori
External Reader: Dr. Jagdish Pathak
Advisor: Dr. Arunita Jaekel
Chair: Dr. Scott Goodwin
MSc Thesis Defense Announcement
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