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@article{198620,
        author = {Y. NANDINI and SK.MEHNAZ and G.DEVENDAR and T.HARIDEEP and MD. FAHEEM},
        title = {VEHICLE TO VEHICLE COMMUNICATION USING LI-FI TECHNOLOGY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {8550-8555},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198620},
        abstract = {This research presents a robust and cost-effective implementation of Vehicle-to-Vehicle (V2V) communication utilizing Light Fidelity (Li-Fi) technology, aimed at enhancing road safety and reducing the latency associated with traditional Radio Frequency (RF) systems. As traffic density increases, the demand for high-speed, interference-free communication becomes critical. Unlike conventional Wi-Fi or Bluetooth, Li-Fi uses the Visible Light Spectrum (VLC) to transmit data, offering higher security and immunity to electromagnetic interference.
The proposed system is built upon the Arduino Uno microcontroller, which acts as the central processing unit for data modulation and demodulation. For the transmitter module, high-intensity LEDs are used to flicker at speeds imperceptible to the human eye, representing binary data. This light signal carries critical vehicular information, such as speed, braking status, or obstacle detection. On the receiver side, a Light Dependent Resistor (LDR) or photodiode captures the varying light intensities and converts them back into electrical signals for the Arduino to process.
To simulate real-world vehicular movement, the project integrates DC motors controlled by an L298N Motor Driver, allowing the prototype to respond physically to received data (e.g., automatic braking when a "stop" signal is received from the lead vehicle). Real-time status updates and received messages are displayed on a 16x2 LCD interface, providing immediate feedback on the communication link's integrity. Experimental results demonstrate that the system successfully transmits data over short distances with minimal error rates, proving its viability for "platooning" and collision avoidance applications. This Li-Fi-based approach provides a sustainable solution for Intelligent Transportation Systems (ITS) by leveraging existing vehicle lighting infrastructures, ensuring a future of safer, interconnected, and autonomous mobility.},
        keywords = {Li-Fi Technology, Arduino Uno, Vehicle-to-Vehicle Communication, Intelligent Transportation Systems, Visible Light Communication (VLC), Road Safety.},
        month = {April},
        }