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Safe Fuzzy Clustering in vehicular ad hoc network (2017)

Conference Paper
Belghith, Abdelfettah . 2017
Conference Name: 
International Conference on Control, Automation and Diagnosis (ICCAD'17)
Conference Location: 
Hammamet Tunisia
Conference Date: 
Thursday, January 19, 2017
Sponsoring Organization: 
IEEE
Publication Abstract: 

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 proposed scheme better addresses the issues of scalability and stability in VANETs, yet it achieves a high stable cluster topology compared to other schemes. These characteristics make our proposed scheme more suitable for vehicular ad hoc networks. Simulation results show the effectiveness of the new proposed scheme to create stable clusters by reducing the re-clustering overhead and prolonging cluster lifetime compared to other existing clustering schemes.