Cloud Computing Model for Vehicular Ad hoc Networks

Abstract

Cloud computing has become a significant network access model due to its transparent and ubiquitous sharing environment with a large number of computing resources. Cloud computing services have the potential to improve vehicular network services through its flexible and valuable services. These cloud network services improve the performance of the vehicular application by advance communication, traffic management, standardization and safety systems. In vehicular ad hoc networks, vehicle nodes carry more information by adopting cloud computing services and improve their sensing power, storage capabilities, and onboard computing services. Vehicular cloud computing is one of the emerging solutions to address the vehicular networks communication barriers with new hybrid technologies and remarkable storage features for traffic management and road safety by instantly using vehicular resources. In this paper, we proposed a vehicular cloud computing model for vehicular ad hoc networks. This model provides computational services to vehicle nodes and improves the data communication and network performance. In addition, the paper also discusses the proposed model different services including data aggregation, security, privacy, and resource management. At last, the experimental results indicate the better performance of the proposed model in the network.