Geo-localized content replication for Vehicular Ad-hoc Networks

Abstract

Most Vehicular Ad-hoc Network (VANET) applications require the delivery of a variety of content to vehicles. Furthermore, content in such applications is usually geo-localized (i.e., designated to a specific region of interest). To help with the delivery of geo-localized content in VANET applications, content replication strategies can be exploited to keep content available where the interested vehicles are expected to be. To this end, we propose a Geo-Localized Origin-Destination-based Content Replication (GO-DCR) solution that relies on the vehicles' origin and destination points to select the vehicles most likely appropriate to replicate content. We compare GO-DCR to an existing solution through simulation. The results reveal that GO-DCR increases the content availability while reducing delivery cost.