Exploiting context information for estimating the performance of vehicular communications

Abstract

The performance of wireless vehicular communications can depend on multiple context factors, such as the propagation conditions, the traffic density, or the location of communication infrastructure units. This paper proposes and evaluates two techniques that are able to identify and quantify such dependencies, and uses them to estimate the vehicular communications performance exploiting context information. The techniques proposed have been evaluated using real-world traces from a Vehicle to Infrastructure (V2I) IEEE 802.11p measurement campaign. The obtained results show that the number of context factors considered in the estimation process can influence its accuracy, and that not all context factors have the same importance in the estimation process.