K-Mean Energy Efficient Optimal Cluster Based Routing Protocol in Vehicular Ad-Hoc Networks

In VANET, several automobiles connect to custom a group based on similar characteristics, which is a critical concept in this technological advancement- Clustering. The use of fuzzy logic and machine learning to boost the stability and efficiency of VANET clustering algorithms has been proven. VANET clustering also makes use of network mobility (NEMO) and multi-hop-based methodologies, in addition to other techniques. There have been numerous discussions on VANET clustering algorithms in recent literature research. This article classified both machine learning algorithms and classical machine learning methods, which were both described in detail. In this paper various conventional and machine learning algorithms for VANET’s are studied also analysis of the K-mean clustering algorithms for energy efficient routing and cluster head selection” has been done.