Particle Swarm Optimization for Efficient Data Dissemination in VANETs

Vehicular Ad-Hoc Networks (VANETs) are wireless networks that use vehicles as nodes, and they have become increasingly important due to growing concerns about urban traffic congestion. Reliable and safe data dissemination in VANET networks requires effective optimization methods that balance competing performance metrics. The meta-heuristic technique known as Particle Swarm Optimization (PSO) can achieve efficient optimization by creating multiple paths through Time delay-based Multipath Routing (TMR) and finding the best routes. In a recent study, PSO was compared to other optimization methods, including Ant Colony Optimization (ACO) and Firefly Optimization (FFO), and demonstrated considerable enhancements in various metrics, including increased throughput, decreased packet-loss ratio, reduced end to end delay, and lower routing overhead-ratio. These results highlights potential of PSO-based approaches to improve data dissemination in VANETs and address the challenges of urban traffic congestion.