Cluster Optimization in VANET Using MFO Algorithm and K-Means Clustering: A Bibliometric Review

Abstract

In bibliometric review reveals that VANET clustering optimization is a significant area of research, with several studies focusing on different aspects of the problem. The use of optimization algorithm, such as the MFO algorithm and K-Means clustering, has shown potential in improving network performance. The trend of VANETs employing Intelligent Transportation System (ITS) applications to optimize of clusters in enhancing network performance. The proposed route-finding approach based on clustering and intelligent optimization further emphasizes the significant of optimized clustering algorithms for maximizing VANET performance.