ODCRep: Origin-Destination-Based Content Replication for Vehicular Networks

The evolving of vehicular network applications, from simple alert message exchanging to more elaborated and sophisticated systems, boosts the need for content delivery solutions. A useful technique, in such case, is the content replication, in which strategically selected vehicles replicate content and help on the delivery process. However, content replication is particularly challenging in vehicular networks, due to their special characteristics, such as highly dynamic topology, diverse density, and large-scale scenarios. While there has been progress in routing and dissemination solutions for vehicular networks, few studies have concentrated on the content replication problem. To address this issue, we propose an Origin-Destination-based Content Replication (ODCRep) solution that focuses on balancing the number of replicas across the application area. Differently from existing solutions, ODCRep relies only on the origindestination information, and uses computationally efficient algorithms. Results from exhaustive simulations show that ODCRep can achieve high coverage, yet consuming less resource than existing solutions.