| Title | Robust Visible Light Communication in Intelligent Transportation System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Mir, Ayesha Waqar, Maqbool, Khawaja Qasim |
| Conference Name | 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4) |
| Keywords | Intelligent Transportation System, light emitting diodes, Metrics, Optical Power Received, optical transmitters, pubcrawl, Rain, Receivers, Resiliency, Scalability, Signal to noise ratio, Signal-to-noise-ratio, visible light communication, Visible Light Communications Security, Wavelengths, Wireless communication |
| 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. This causes congestion to network; users make it difficult for everyone to access the internet or to communicate reliably on time. 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. In intelligent transportation system (ITS), this evolving technology of VLC has a strong hold in order to connect vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) links wirelessly. Indoor VLC applications have been studied deeply while the field of vehicular VLC (V-VLC) networking is relatively a less researched domain because it has greater level of intrusion and additive ambient light noise is higher in outdoor VLC. Other 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 paper, 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. This makes ITS more robust in nature. The parameters under consideration will be signal-to-noise ratio (SNR), bit error rate (BER) and optical power received (OPR) for different LED wavelengths. |
| DOI | 10.1109/WorldS450073.2020.9210409 |
| Citation Key | mir_robust_2020 |
Robust Visible Light Communication in Intelligent Transportation System