A Multiple-Criteria Decision Analysis Clustering and Cluster Head Selection Algorithm in Vehicular Network

摘要: Vehicle ad-hoc network (VANET) faces heavy traffic with communication burden to connect various nodes in the network, uses clustering techniques neighboring vehicles, and elects a powerful efficient vehicle as cluster head. Cluster head collects all information pass them out transmit outside data other members cluster. However, issues such inability of choosing feasible stable clusters for long time. On hand, nomination heads fails adhere real-world parameters. To address these issues, this paper, k-means algorithm direction vector-based selection method utilization fuzzy-based PROMETHEE multi-criteria decision are proposed. Moreover, mathematical rational analysis shows that is implementable achievable. Finally, range future directions study shown.