Enhanced Fuzzy logic-based Cluster Stability in Vehicular ad hoc Network

Aissa, Mohamed
Bouhdid, Badia
Mnaouer, Adel Ben
Journal Title
Journal ISSN
Volume Title
Institute of Electrical and Electronics Engineers Inc.
VANET nodes are characterized by their high mobility and they exhibit different mobility patterns. Therefore, VANET clustering schemes should take into consideration the mobility parameters among neighboring nodes to produce relatively stable clustering structure. This paper proposes a novel cluster head selection Fuzzy Logic-based k-hop distributed clustering scheme for VANETs. This scheme considers the safe inter-distance between vehicles as one of important metrics for cluster head selection. Our contribution deals better with the scalability and stability issues of VANETs and can achieve a high stable cluster topology compared to other schemes. These features make the proposed scheme more suitable for VANETs networks. Simulation proves the effectiveness of the new proposed scheme to create stable clusters by reducing re-clustering overhead and prolonging cluster lifetime compared to other existing clustering schemes for VANET. © 2021 IEEE.
This conference paper is not available at CUD collection. The version of scholarly record of this paper is published in 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021 (2021), available online at: https://doi.org/10.1109/ISNCC52172.2021.9615872
Clustering, Fuzzy logic system, Stability, V2V, Vehicular networks
Aissa, M., Bouhdid, B., & Mnaouer, A. B. (2021). Enhanced fuzzy logic-based cluster stability in vehicular ad hoc network. Paper presented at the 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021. https://doi.org/10.1109/ISNCC52172.2021.9615872