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IJASER publishes high-quality, original research papers, brief reports, and critical reviews in all theoretical, technological, and interdisciplinary studies that make up the fields of advanced science and engineering and its applications.
Vehicle-to-Vehicle (V2V) communication is a critical component of modern intelligent transportation systems (ITS), enabling real-time data exchange between vehicles to enhance road safety, traffic efficiency, and autonomous driving capabilities. Traditional V2V communication relies on radio frequency (RF) technologies such as Dedicated Short-Range Communication (DSRC) and cellular networks (5G), which face significant challenges including spectrum congestion, latency issues, and security vulnerabilities. Light Fidelity (LiFi), an emerging optical wireless communication (OWC) technology, presents a revolutionary alternative by utilizing visible light for high-speed, secure, and low-latency data transmission. This paper provides an in-depth exploration of LiFi-based V2V communication, examining its fundamental principles, advantages over conventional RF systems, and the technical challenges that must be addressed for practical implementation. A comprehensive literature review synthesizes existing research on LiFi and its applications in vehicular networks, highlighting key findings and identifying gaps in current knowledge. The proposed work introduces a novel LiFi-based V2V architecture, detailing the system components, communication protocols, and simulation methodologies employed to evaluate performance. Extensive results from simulations are presented and analyzed, comparing LiFi's performance metrics with traditional RF-based systems under various vehicular scenarios. The discussion critically examines the implications of these findings, addressing both the potential benefits and limitations of LiFi in real-world V2V applications. The paper concludes with a forward-looking perspective on the future of LiFi in vehicular communication, outlining directions for further research and development to overcome existing barriers and fully realize the technology's potential in transforming intelligent transportation systems.