Rough Set Based Fuzzy Scheme for Clustering and Cluster Head Selection in VANET
DOI: 10.5755/J01.EEE.21.1.7729
关键词:
摘要: In Vehicular Ad hoc Network (VANET), clustering helps vehicles to communicate with other and the nearby Road Side Unit (RSU). Conventional methods follow precise which degrades stability of cluster formation. To stabilize formation clusters, in boundary region more than one should be uniquely added proper cluster. Fuzzy set representation clusters makes this possible by assigning a membership value all supports based on value. Since lifetime is very minimal vehicular network, fuzzy too descriptive interpret results. paper, rough employed for VANET. Using scheme, vehicle transmission range namely, are assigned Based rule base, appropriate Theoretical analysis experimental results show that scheme obtains 10 % 20 average 25 head when compared existing approaches. DOI: http://dx.doi.org/10.5755/j01.eee.21.1.7729
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