More Insights Into Communication Issues in the Internet of Vehicles

Abstract

The incorporation of information and communication technologies within vehicles has truly revolutionized the way we travel today. Connected vehicles represent the building blocks of the emerging Internet of Vehicles (IoV). They are spurring an array of applications in the area of road safety, traffic efficiency and driver's assistance. Connected vehicles refer to vehicles that can support Vehicle-to-X (V2X) connectivity. The critical challenge is to design good mobility and propagation models. In this paper, we intend to study the relevance of a realistic mobility model and a realistic propagation model. First, we analyze the most common routing protocols performance for MANET, namely OLSR, AODV and DSR thanks to a network simulator. Next, we study the influence of both models on a simple safety service. The major result is highlighting the impact of realistic modeling on the simulation.

Enhancing Data Collection in Vehicular Network Through Clustering Optimization

“…The city map is divided into cells of equal size, and several data sources, including GIS shape files and socio-economic information, are used to define an attraction weight for each cell. To simulate the mobility of vehicles in urban environments, we use a mobility module called V-MBMM, which is capable of accurately simulating vehicle displacement [3]. In addition, we define a radio propagation module, V-PROPAG (Vehicular Radio Propagation Model) [1], that calculates the radio coverage area of each vehicle in the network.…”

Performance of topology-based data routing with regard to radio connectivity in VANET

“…V-MBMM simulates vehicles displacement in urban environments [16]. The road topology graph is extracted from the real city map where edges correspond to road segments and vertices connect two or more segments.…”