Literature Database Entry

arkian2014fcvca


H.R. Arkian, R.E. Atani and S. Kamali, "FcVcA: A fuzzy clustering-based vehicular cloud architecture," Proceedings of 7th IFIP/IEEE International Workshop on Communication Technologies for Vehicles (Nets4Cars 2014-Fall), October 2014, pp. 24-28.

Abstract

Recently, involving wireless communication technologies in deployment of new vehicular networks becomes more attracting to the research community and vehicle manufacturers. It is beneficial in providing intelligent transportation system as well as new assistant services to drivers. However, the limitation of resources in mobile vehicles is a significant technical challenge in the deployment of new applications. In this paper, we propose a new vehicular cloud architecture used clustering technique to group vehicles and provide resources cooperatively. We make the cluster structure flexible by using the fuzzy logic in the cluster head selection procedure. Also, performance of the proposed architecture is evaluated using extensive simulation and approaches., its efficiency is demonstrated through comparison with other existing

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H.R. Arkian
R.E. Atani
S. Kamali

BibTeX reference

@inproceedings{arkian2014fcvca,
    author = {Arkian, H.R. and Atani, R.E. and Kamali, S.},
    title = {{FcVcA: A fuzzy clustering-based vehicular cloud architecture}},
    booktitle = {7th IFIP/IEEE International Workshop on Communication Technologies for Vehicles (Nets4Cars 2014-Fall)},
    pages = {24-28},
    keywords = {Cloud computing;Computer architecture;Conferences;Delays;Fuzzy logic;Vehicles;Clustering;Fuzzy Logic;VANET;Vehicular Cloud},
    year = {2014},
    month = {October},
    publisher = {IEEE},
    doi = {10.1109/Nets4CarsFall.2014.7000907},
   }
   
   

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