TY - JOUR
T1 - High-Reliability Low-Latency Intelligent Geographic Routing Protocol for Vehicle Road Cooperation System
AU - Jian, Xin
AU - Xie, Lingkun
AU - Zhu, Xiaogang
AU - Liu, Shaokun
AU - Li, Yangjie
AU - Jolfaei, Alireza
AU - Alfarraj, Osama
AU - Yu, Keping
PY - 2025/1/15
Y1 - 2025/1/15
N2 - The vehicle road cooperation system is designed to enable intelligent and collaborative communication between vehicles and vehicles, infrastructure, and pedestrians to reduce road accidents and improve road efficiency. As a critical component of this, vehicle-to-vehicle (V2V) communication is expected to achieve efficient information interaction between vehicles and support services, such as collision warning and operation assistance. However, due to the high mobility of vehicles and channel fading, V2V communication suffers from link instability, high latency, and low-resource utilization. To address these issues, this article proposes a high-reliability low-latency intelligent geographic routing (HRLLIGR) protocol based on the greedy perimeter stateless routing (GPSR) protocol to improve its performance in such highly dynamic networks. The main mechanisms of HRLLIGR include a reliable greedy forwarding algorithm based on the evaluation of link stability metrics, a low-latency area prediction forwarding algorithm for routing voids, and an intelligent routing update mechanism to reduce routing overhead. Simulation results suggest that the HRLLIGR protocol outperforms traditional routing protocols, such as ad-hoc on-demand distance vector (AODV), optimized link state routing (OLSR), and GPSR regarding reliability, latency, and overhead. Specifically, compared to the GPSR protocol, it achieves 13.7% improvement in packet delivery rate, 21.3% reduction in average end-to-end latency, and 15.1% decrease in routing overhead.
AB - The vehicle road cooperation system is designed to enable intelligent and collaborative communication between vehicles and vehicles, infrastructure, and pedestrians to reduce road accidents and improve road efficiency. As a critical component of this, vehicle-to-vehicle (V2V) communication is expected to achieve efficient information interaction between vehicles and support services, such as collision warning and operation assistance. However, due to the high mobility of vehicles and channel fading, V2V communication suffers from link instability, high latency, and low-resource utilization. To address these issues, this article proposes a high-reliability low-latency intelligent geographic routing (HRLLIGR) protocol based on the greedy perimeter stateless routing (GPSR) protocol to improve its performance in such highly dynamic networks. The main mechanisms of HRLLIGR include a reliable greedy forwarding algorithm based on the evaluation of link stability metrics, a low-latency area prediction forwarding algorithm for routing voids, and an intelligent routing update mechanism to reduce routing overhead. Simulation results suggest that the HRLLIGR protocol outperforms traditional routing protocols, such as ad-hoc on-demand distance vector (AODV), optimized link state routing (OLSR), and GPSR regarding reliability, latency, and overhead. Specifically, compared to the GPSR protocol, it achieves 13.7% improvement in packet delivery rate, 21.3% reduction in average end-to-end latency, and 15.1% decrease in routing overhead.
KW - Area predictive forwarding
KW - intelligent routing update
KW - link metrics
KW - vehicle-to-vehicle (V2V) communication
UR - http://www.scopus.com/inward/record.url?scp=85204944746&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2024.3465519
DO - 10.1109/JIOT.2024.3465519
M3 - Article
AN - SCOPUS:85204944746
SN - 2327-4662
VL - 12
SP - 1774
EP - 1788
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 2
ER -
