Optimized-selection Model of Relay Nodes in Platoon-based Vehicular Ad-hoc Networks

Vehicular Ad Hoc Networks (VANET) have the potential to improve traffic services in terms of safety, information and entertainment. This is because many researchers develop applications and protocols for VANETs to leverage this area in preparation for the future, such as, services for disseminating accident information and video transmission via vehicle networks. This work presents the Particle Swarm Optimization Adaptive Relay (PSOAR), a relay selection model that aims to find the ideal position to maintain network connectivity and improve the services offered to users. To evaluate the performance of PSOAR in a scenario based on a city with realistic traffic and vehicles, the results obtained use quality of service and experience metrics to verify the feasibility of the proposal, which shows that it offers better performance than the competing model Furthest Distance (FD) to which it was compared to in terms of video quality, without negatively impacting other metrics. The conclusions obtained in this project serve as a first step towards the maturation of the proposal and the possibility of its evolution in future works.