An SNR-based admission control scheme in WiFi-based vehicular networks

Abstract

In WiFi-based vehicular networks, the performance anomaly problem can be serious because different vehicles with diverse channel conditions access the channel by a random access protocol. In this article, we first develop a novel analytical model, which combines the vehicular traffic theory and WiFi properties to show the impact of performance anomaly at the intersection. We then propose a signal-to-noise ratio (SNR)-based admission control scheme that excludes vehicles with bad channel qualities to address the performance anomaly problem. Extensive simulation and analytical results are presented to show the effect of the traffic condition and the topology. From the simulation results, it can be found that the SNR-based admission control scheme can improve the overall throughput, and starvation issues can be addressed by means of mobility in WiFi-based vehicular networks with multiple intersections.