Expansion of vehicular cloud services on crossroads using fuzzy logic and Genetic Algorithm

Wireless network solutions based on Vehicular Ad hoc Networks (VANET) are the main path for vehicle manufacturers and urban traffic management systems to find the bests in convenience, intelligence and safety of traveling and transportation. In the other hand, recent equipped vehicles with newest computers with powerful processors and huge storages are new resources for network service providers to connect, share some resources and applications based on entertainments and also financial aims via internet or local network services using such a new solution in networks as cloud computing for vehicular users. This relevance perfectly needs to enhance in quality and connectivity. In this paper, we propose a designation to improve vehicular cloud architecture in connectivity and stability to share applications and resources using fuzzy logic to find cluster head in clustering method of Vehicular Ad hoc Networks for platoons of vehicles in a same direction, at first. Then, by using Genetic Algorithm, we improve the stability of network and reduce data loss remarkably. Also, the performance of this design and architecture is simulated and evaluated and proved to be efficient through comparison with other approaches and proposal.