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Hierarchical Clustering Based on Dendrogram in Sustainable Transportation Systems

Sangaiah, A. K ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1109/TITS.2022.3222789
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2023
  4. Abstract:
  5. Each group in a data-driven automobile network has its cluster head. A group can communicate with each other and members of other groups once it has been founded. Vehicles belonging to each group near the other group allow intergroup communication. Because nodes in automotive networks move so quickly, routing in these networks is a complex problem to solve. Each cluster in hierarchical clustering can be partitioned into multiple sub-clusters. Put another way, and the data is stored in a cluster, which is then divided into more clusters. The data is stored directly in separate clusters in non-hierarchical approaches. A dendrogram is a type of hierarchical tree. We anticipate increasing information sharing in clusters by properly clustering vehicles on the road and establishing clusters of the desired size in the relevant dendrogram. We can select clusters of the necessary extent and compare the Quality of Service (QoS) network's outcomes by breaking the dendrogram at different levels. The findings reveal that the suggested method outperforms AIVISN in delay, PDR, overhead, and Drooped packets compared to AIVISN, 7.12%, 12.21%,8.32%, and 7.34%, respectively. © 2000-2011 IEEE
  6. Keywords:
  7. Dendrogram ; Hierarchical clustering ; Information sharing ; Quality of the services ; V2I ; V2V ; VANET
  8. Source: IEEE Transactions on Intelligent Transportation Systems ; Volume 24, Issue 12 , 2023 , Pages 15724-15739 ; 15249050 (ISSN)
  9. URL: https://dl.acm.org/doi/abs/10.1109/TITS.2022.3222789