Efficient Clustering of Visible Light Communications in VANET

The deployment of vehicular ad hoc network (VANET) is crucial to the development autonomous vehicles. Radio frequency (RF) technology has been employed transmit messages between vehicles and infrastructure in VANET. However, limited RF bands may cause interference when a high-density environment. Moreover, numerous at same time, simultaneous transmissions channel congestion. While issue signal can be solved by techniques Visible Light Communication (VLC), vehicle clustering improve transmission performance VLC an emerging with advantage immunity electromagnetic interference. technique categorizes into different sets, where each set leader for intra-cluster messaging. In this work, we present algorithm VANET based on VLC. Our estimates positions their current movements. Then, it selects cluster heads number neighboring generates clusters. We evaluate our scheme both urban highway scenarios. simulation results show that proposed minimize clusters data rate