SIoV Mobility Management Using SDVN-Enabled Traffic Light Cooperative Framework

Abstract

Social Internet of Vehicles (SIoV) is an emerging connected vehicular networking framework among specialized social vehicles to share and disseminate important information like traffic updates, weather conditions, parking slots, so on. This study aims to form an SIoV network among emergency vehicles for their frequent communication to improve the throughput, average waiting time, queue length, and speed during vehicular movement while crossing the intersection in the city. To address this, we propose a novel Smart Traffic Light Controller (STLC)-assisted Software-Defined Vehicular Networking (SDNV)-enabled SIoV framework for emergency vehicles. Emergency vehicles form an SIoV network by utilizing SDVN architecture in vehicle-to-vehicle and vehicle-to-infrastructure communication. The SDVN module is used to offer two essential services: (1) SIoV-based road-lane prioritization and (2) congestion prevention signal generation for the STLC. An SDVN-MP algorithm is proposed to generate an effective traffic light control signal with an SDVN controller feedback signal. Furthermore, to improve the SIoV movement in the city, two levels of prioritization are done: (1) SIoV and (2) the road lane with SIoV. The first level of prioritization is to assign higher weightage to the social vehicular entities, and the second level is to prioritize the respective road lane based on SIoV quantity. The proposed framework is validated through a realistic simulation study on the Indian city OpenStreetMap utilizing the Simulation of Urban MObility simulator. The experimental findings demonstrate that the SDVN-MP model enhances (state-of-the-art) comparative performance by 22.5–55.2%, 1.2–82.7%, 1.6–38.4%, and 1.8–12.4% for average waiting time, average speed, average queue length, and average throughput metrics, respectively.