Abstract
In this paper, we propose an intelligent approach for resource management in Vehicular Ad Hoc Networks (VANETs) using Software Defined Networking (SDN) and Fuzzy Logic (FL) approaches. We introduce a layered Cloud-Fog-Edge computing architecture in SDN-VANETs which is coordinated by the SDN Controller (SDNC). A fuzzy based system implemented in SDNC is used to make decisions on the processing layer of the VANETs application data. The decision is made by prioritizing the application requirements and by considering the available connections. We demonstrate in simulation the feasibility of our proposed system to improve the management of the network resources.
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Qafzezi, E., Bylykbashi, K., Spaho, E., Barolli, L. (2020). An Intelligent Approach for Resource Management in SDN-VANETs Using Fuzzy Logic. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_68
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DOI: https://doi.org/10.1007/978-3-030-33506-9_68
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