QoVS Prediction of Vehicle Service in Internet of Vehicles

With the Internet of Vehicles popular, many service providers can provide vehicle service (e.g. Web service, Application, Network access, etc.) for users. Then more and more vehicle services are published in Internet of Vehicles, and how to measure the quality of vehicle service (QoVS) become a very important issue. In this paper, we propose a QoVS prediction approach using eAutoregressive integrated moving average. Our approach can predict the QoVS of different vehicle services according their history data. In order to evaluate our proposed approach, we construct experiments and results show that our approach is very effective in internet of vehicles.