An approach to model the optimal service provisioning in vehicular cloud networks

In recent years, the development of the Internet of things has also extended to transportation networks, affecting smart transportation networks. There are many vehicles in the city that do not use their resources (storage, processing and bandwidth) and therefore there is a good potential to use these resources as a cloud. However, the mobility of vehicles poses a challenge in providing and receiving services available in the cloud. On the other hand, service requests are not predictable and require the use of dynamic approaches for service provisioning. In this paper, we try to reduce the effect of these challenges by modeling the existing problem with the customized mathematical model of maximum coverage, and by using the approximate heuristic algorithm in this field. The simulation performed by the heuristic algorithm shows an improvement in terms of service delivery rate and resource efficiency compared to the random allocation mode.