Danger Aware Vehicular Networking

Abstract

IEEE 802.11p is one of the key technologies that enable Dedicated Short-Range Communications (DSRC) in intelligent transportation system (ITS) for safety on the road. The main challenge in vehicular communication is the large amount of data to be processed. As vehicle density and velocity increases, the data to be transmitted also increases. We proposed a protocol that reduces the number of messages transmitted at a vehicle according to the level of danger that the vehicle experiences. The proposed protocol measures inter-vehicle distance, as the representative of the danger of a vehicle, to determine the priority for transmission. Our results show that this prioritization of transmissions directly reduces the number of transmitters at a time, and hence results in higher performance in terms of key metrics--i.e., PDR, throughput, delay, probabilities of channel busy and collision.

References in corpus (3)

• Multi-Hop Cluster based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination
• Spatiotemporal Analysis on Broadcast Performance of DSRC with External Interference in 5.9 GHz Band
• A Geometric Analysis Method for Evaluation of Coexistence between DSRC and Wi-Fi at 5.9 GHz

Cited by in corpus (6)

• Novel Backoff Mechanism for Mitigation of Congestion in DSRC Broadcast
• Prioritization of Basic Safety Message in DSRC Based on Distance to Danger
• 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