Robust Visible Light Communication in Intelligent Transportation System

Abstract

Wireless communication in the field of radio frequency (RF) have modernized our society. People experience persistent connection and high-speed data through wireless technologies like Wi-Fi and LTE while browsing the internet. But RF spectrum is not the only spectrum through which we can communicate or carry our information. We can surf through the internet using other waves of the spectrum as well. The major issues of RF spectrum are intrusion, high latency and it requires an individual transmitter receiver setup in order to function. Dr. Herald Hass came up with an idea of ‘data through illumination’. Surmounting the drawbacks of RF spectrum, visible light communication (VLC) is more favored technique because of unlimited band width and immunity to intrusion from electromagnetic (EM) sources. In intelligent transportation system (ITS), this evolving technology of VLC has a strong hold in order to connect vehicle-toinfrastructure (V2I) and vehicle-to-vehicle (V2V) links wirelessly. The factors due to which the implementation of VLC faces a lot of hurdles are mostly related to environment such as dust, haze, snow, sunlight, rain, fog, smog and atmospheric disturbances. In this thesis, we executed a thorough channel modelling in order to study the effects of clear weather, fog, snow and rain quantitatively with respect to different wavelengths in consideration for an ITS. The parameters under consideration will be signal-to-noise ratio (SNR), bit error rate (BER) and optical power received (OPR) for different LED wavelengths.