PSO-Based Dynamic RSU Role Assignment Framework for Scalable and Reliable Content Delivery in VANETs.

Area of Science:

• Vehicular Ad-hoc Networks (VANETs)
• Network Engineering
• Content Delivery Networks (CDNs)

Background:

• Static roadside unit (RSU) roles in VANETs cause network congestion and inefficient content delivery, especially under high demand.
• Existing solutions struggle to adapt to dynamic network conditions and bursty traffic patterns.

Purpose of the Study:

• To propose and evaluate a novel framework, PDRA (PSO-Based dynamic RSU role assignment), for dynamically managing RSU roles, coverage, and content replication in VANETs.
• To enhance real-time content service delivery, network efficiency, and overall performance in VANETs.

Main Methods:

• Developed a PSO-Based dynamic RSU role assignment (PDRA) framework.
• Implemented a telemetry-based suitability estimator and an adaptive sectoring mechanism for RSUs.
• Established a virtual Replication Layer managed by Leader RSUs for global content visibility and replication.
• Incorporated a load- and energy-aware reconfiguration policy for RSU management.

Main Results:

• PDRA significantly improves packet delivery ratio and reduces end-to-end delay in urban VANET scenarios.
• The framework effectively lowers backhaul traffic and enhances fairness in content delivery.
• PDRA demonstrates improved scalability and robustness compared to existing solutions.

Conclusions:

• PDRA offers a scalable and robust solution for dynamic content delivery in VANETs by optimizing RSU roles, coverage, and replication.
• The dynamic adaptation of RSU functions addresses challenges posed by heterogeneous services and bursty demands.
• The proposed framework enhances overall network performance and resource utilization in vehicular environments.