A novel framework for message dissemination with consideration of destination prediction in VFC

The rapid development of intelligent transportation systems (ITS) and the emergency of ever-growing vehicular applications pose significant challenges to the underlying communication system. Without the support of powerful communication, many vehicular services will just stay in conceptual phase and cannot be put into practice. Recently, vehicular fog computing (VFC) is introduced as a promising solution to provide low-latency services on roads, which utilizes enormous vehicles on roads as communication and computation resources and extends cloud computing service to an edge network. On the other hand, the publish/subscribe (pub/sub) paradigm provides a loosely coupled and scalable communication which can facilitate flexible and dynamic vehicular network services. Motivated by the merits of these two research fields, in this paper, we propose a novel joint design of pub/sub-communication model based on VFC architecture, which employs fog nodes as the data platform for messages aggregation. Specifically, we describe a method to predict the vehicle’s destination and construct a stable VFC on roads. Then, a message dissemination approach is designed based on our communication model. Finally, the experimental results confirm the efficiency of our proposed scheme in real-world urban scenarios.