The Effects of Variability in C-V2X Networks
Session Number
Project ID: CMPS 06
Advisor(s)
Dr. Randall Berry, Northwestern University
Discipline
Computer Science
Start Date
20-4-2022 10:25 AM
End Date
20-4-2022 10:40 AM
Abstract
Our research investigates C-V2X networking, an LTE-based technology that enables communication from vehicles to infrastructure (stoplights, crosswalks, etc), pedestrians, and other vehicles without the use of network towers. Using the network, vehicles are able to communicate Basic Safety Messages (BSMs). BSMs communicate a car’s speed, velocity, position, and other information detailing a vehicle's state and path. By efficiently communicating BSMs, traffic safety can be improved. We created a simulation that allowed us to evaluate the efficacy of CV2X networks in various scenarios. To account for multiple factors, variables within the simulation were changed manually, such as the number of resource blocks, frequency channels, minimum and maximum time spent in a resource block, number of vehicles in the network, and the presence of oblivious and sophisticated attackers. Our study focused on gathering the optimal arrangement of variables to maximize the success rate (the ratio of vehicles that could successfully transmit their BSM) of the network. Research began with the investigation of the success rate when more vehicles and more resource blocks were added to the system. The tradeoff between the addition and reduction of multiple variables within the system were also analyzed through the success rate.
The Effects of Variability in C-V2X Networks
Our research investigates C-V2X networking, an LTE-based technology that enables communication from vehicles to infrastructure (stoplights, crosswalks, etc), pedestrians, and other vehicles without the use of network towers. Using the network, vehicles are able to communicate Basic Safety Messages (BSMs). BSMs communicate a car’s speed, velocity, position, and other information detailing a vehicle's state and path. By efficiently communicating BSMs, traffic safety can be improved. We created a simulation that allowed us to evaluate the efficacy of CV2X networks in various scenarios. To account for multiple factors, variables within the simulation were changed manually, such as the number of resource blocks, frequency channels, minimum and maximum time spent in a resource block, number of vehicles in the network, and the presence of oblivious and sophisticated attackers. Our study focused on gathering the optimal arrangement of variables to maximize the success rate (the ratio of vehicles that could successfully transmit their BSM) of the network. Research began with the investigation of the success rate when more vehicles and more resource blocks were added to the system. The tradeoff between the addition and reduction of multiple variables within the system were also analyzed through the success rate.