FcVcA: A fuzzy clustering-based vehicular cloud architecture

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 its efficiency is demonstrated through comparison with other existing approaches.