Cluster-based Data Collection Scheme for Vehicular Ad-hoc Networks.

Abstract As a prominent application of intelligent transportation system, Vehicular Ad-hoc Network is designed to enhance the road traffic safety by deploying effective wireless communication technologies. The paradigm of connected vehicles enables to connect vehicles to each other, and vehicles to infrastructure. Because of the significance of safety-related driving data that are exchanged in vehicular networks, it is mandatory to provide a suitable collection solution. In this paper, we propose an efficient data collection based on vehicle to vehicle and vehicle to infrastructure communications. The proposed solution is endowed with a clustering approach for reducing the effects of mobility and density on the data collection stations. In order to demonstrate the effectiveness of the proposed solution, we have conducted a simulation using OMNET++ simulator, Veins, and SUMO. The results show that proposed solution achieves a more efficient collection of the road traffic data while reducing the overhead and the topology changes. [ABSTRACT FROM AUTHOR]