Prioritization of Basic Safety Message in DSRC Based on Distance to Danger

Abstract

Many parties claim the technical significance of Dedicated Short-Range Communications (DSRC) in intelligent transportation system (ITS) for promotion of transportation safety. The main challenge in this key vehicle-to-everything (V2X) standard is high odds of network congestion. Furthermore, in accordance with a V2X network being inherently dynamic in key parameters such as vehicle density and velocity, the networking behavior of a DSRC system is usually highly complicated to analyze. In addition, the United States Federal Communications Commission (US FCC) recently announced the "5.9 GHz band reform," which reduced the dedicated bandwidth for DSRC to 10 MHz from 75 MHz. Motivated from these, the necessity of "lightening" the networking load of a DSRC network has become essential to keep safety-related operations without performance deterioration. To this end, this paper proposes a protocol that prioritizes transmission of a basic safety message (BSM) at a vehicle according to the level of danger that the vehicle experiences. The proposed protocol uses the distance between a danger source and a vehicle as the metric to determine the priority for transmission. Our results show that this protocol prioritizes the transmission opportunity to dangerous vehicles, and hence results in higher performance in terms of key metrics--i.e., average delay, throughput, and inter-reception time ($\mathsf{IRT}$).

arXiv commentThis manuscript will be submitted to IEEE Access

References in corpus (5)

• Spatiotemporal Analysis on Broadcast Performance of DSRC with External Interference in 5.9 GHz Band
• Stochastic Analysis on Downlink Performance of Coexistence between WiGig and NR-U in 60 GHz Band
• Danger Aware Vehicular Networking
• Novel Backoff Mechanism for Mitigation of Congestion in DSRC Broadcast
• A Geometric Analysis Method for Evaluation of Coexistence between DSRC and Wi-Fi at 5.9 GHz

Cited by in corpus (5)

• Novel Backoff Mechanism for Mitigation of Congestion in DSRC Broadcast
• Reinforcement Learning for Accident Risk-Adaptive V2X Networking
• Mitigation of Human RF Exposure in Wearable Communications
• Adequacy of 5.9 GHz Band for Safety-Critical Operations with DSRC
• Environment-Adaptive Multiple Access for Distributed V2X Network: A Reinforcement Learning Framework