A Secure Resource Optimization Strategy Based on Utility Dominant in Vehicular Networks.

Prospectively, vehicular networks are envisioned to support vehicular-based, road-based, and traffic-based data sensing, transmitting and processing for intelligent transportation system applications, and eventually evolve towards a new paradigm, named vehicular networks (VNs), which bundle the characteristics of networks into vehicular networks. In VNs, since the conflict between resource utility and the quality of service (QoS), it remains an ongoing challenge about how to reasonably and effectively allocate resources that can meet QoS and fairness requirements at the same time which causes security problem because of the conflicts. To this end, we propose a utility-based dominant resource allocation optimization strategy in this paper to achieve security in VNs. We first establish a mapping model between user QoS requirements and resource demands, and then apply the improved dominant resource fairness scheme to obtain optimal allocation results. The effectiveness of this security strategy is proved theoretically through the constructed utility function and the mapping model. Experimental results demonstrate that our security strategy can not only maximize the ratio of provision over demand of users and the satisfied degree of services but also achieve the QoS and fairness requirements of users.