Abstract
Various forms of wireless communications technologies have been proposed for intelligent transportation systems (ITSs). Recent events have illustrated that visible light communication (VLC) can play a significant role in achieving Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. Since it is energy efficient and available in abundance, it is in huge demand. Our prime objective of this experiment is to study the challenges that come during channel modulation and find optimal solutions to curb them. In this paper, we have done a comparative study of field of view (FOV) angles in different environmental conditions to evaluate the change in the signal-to-noise ratio (SNR). We performed a stress test on a previously laid model using NS 3.25 network simulator. This analytical approach helped us to successfully simulate SNR for different topological schemes and infer a hybrid model from it. Each topology scheme depicts a specific traffic scenario on the road.
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Maheshwari, R., Grover, J., Mishra, S. (2021). Investigation of SNR in VLC-Based Intelligent Transportation System Under Environmental Disturbances. In: Marriwala, N., Tripathi, C.C., Kumar, D., Jain, S. (eds) Mobile Radio Communications and 5G Networks. Lecture Notes in Networks and Systems, vol 140. Springer, Singapore. https://doi.org/10.1007/978-981-15-7130-5_4
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DOI: https://doi.org/10.1007/978-981-15-7130-5_4
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