Abstract
With the advent of Internet of Vehicles, overhead related to localization services and path discovery step can drain the network resources and overload the large-scale vehicular networks, thus slowing down the routing process, especially with the recent surge of time-sensitive and QoS (Quality of Service) greedy applications. Performing proactively these tasks contributes to reducing the associated overhead by exploiting the vehicular beaconing system, as related data can be piggybacked with beacon messages. In this context, we present ILTS, an Infrastructure Localization service and Tracking Scheme, designed to supply vehicles with contextual information about the infrastructure accessibility and the neighborhood, in order to track available paths and to forward promptly safety and non-safety-related information. Through extensive simulation experiments, we have proven the ability of ILTS to promptly supply vehicles with fresh information about the location of the infrastructure and the availability of paths to reach it. The obtained results show that the vehicles are able to maintain knowledge of full paths towards the infrastructure during an average of 90% of the time spent in an uncovered area.