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

Author(s)	Sham Rizal Ramlee, Profesor Madya Gs. Ts. Dr. Othman Bin Mohd
Country	Malaysia
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.
Keywords	VANET, Clustering, Optimization, Cluster Head, Moth Flame Optimization (MFO), K-Means Clustering
Field	Computer > Network / Security
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-04-30
Cite This	Cluster Optimization in VANET Using MFO Algorithm and K-Means Clustering: A Bibliometric Review - Sham Rizal Ramlee, Profesor Madya Gs. Ts. Dr. Othman Bin Mohd - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.18879
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.18879
Short DOI	https://doi.org/gtsns4

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