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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 paper, the authors 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. They, 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.
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