Realization of a Robust Fog-Based Green VANET Infrastructure

Abstract

This article proposes an efficient employment of a self-powered fog-based vehicular ad hoc network (VANET) infrastructure. Miscellaneous techniques and algorithms are suggested to help the realization of such framework. In the current work, we decided to enhance the network architecture of the traditional VANET by adopting the concept of self-powered fog computing concepts for better networking, computing, and storage performance. The green fog layer consists of three components: a self-powered edge server, wireless solar routers, and a new device resulted from the integration between a solar-powered smart camera and a solar-powered road side unit in order to create a better sensing mechanism of the road traffic. A proper power management strategy is suggested to be installed locally in the self-powered devices to decrease their power utilization and lengthen the lifetime of their batteries. On the system level, the design steps concentrate on building a sustainable, secured, reliable, and scalable communication infrastructure and this was done by adopting several approaches, such as VANET fog clustering, malicious nodes detection, and a combination of various security methods. The performance of the different methods and algorithms suggested in this article is evaluated using different simulation and experimental tools to discover their impact on enhancing the robustness of the fog-based Green VANET.