A Fuzzy-Based System for Cloud-Fog-Edge Selection in VANETs

Abstract

Vehicular Ad Hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile internet and Internet of Things (IoT) applications. With the evolution of technology, it is expected that VANETs will be massively deployed in upcoming vehicles. However, these kinds of wireless networks face several technical challenges in deployment and management due to variable capacity of wireless links, bandwidth constrains, high latency and dynamic topology. Cloud computing, fog computing and edge computing are considered a way to deal with these communication challenges. In this paper, we propose a Fuzzy-based System for Resource Coordination and Management (FSRCM) in VANETs. The proposed system considers vehicle mobility, data size, time sensitivity and remained storage capacity to select processing layer of the VANETs application data. We evaluated the performance of proposed system by computer simulations. From the simulations results, we conclude that the vehicles choose the appropriate layer to process and keep the data based on their velocity, remained storage and data size.