SAE-DCC Evaluation and Comparison with Message Rate and Data Rate Based Congestion Control Algorithms of V2X Communication

Abstract

Vehicle-to-Everything (V2X) communications are promising solutions to optimize the traffic efficiency and safety. However, the communication channel may get congested under a high vehicular density and furthermore degrade the reliability of safety applications. In order to tackle this critical issue, various Decentralized Congestion Control (DCC) algorithms have been proposed. Each DCC adjusts different transmission parameters (message rate, data rate, transmission power, etc.) to control the channel loads. In this paper, we conducted a detailed study of the DCC proposed by the Society of Automotive Engineers International (SAE-DCC), then compared it with Packet count based Data-Rate DCC (PDR-DCC) and message rate based DCC LIMERIC. In our study, we verified the effectiveness of SAE- DCC and compared it to LIMERIC and PDR-DCC using selected evaluation metrics (CBR, position error, T-window reliability and awareness range). According to the simulation results in ns-3, in terms of position error, PDR-DCC demonstrates the best performance within 200-meter range, while SAE-DCC and LIMERIC outperform PDR-DCC when the distance increases. In view of the T-window reliability, PDR-DCC shows a clear advantage under dense and extreme traffic densities.