An Influence Maximization-Based Hybrid Advertising Dissemination for Internet of Vehicles

Junfang Zheng, Junling Shi, Qiang He, Enchao Zhang, Ammar Hawbani, Liang Zhao

Abstract: As a key service of the Internet of Vehicles (IoV), vehicle advertising can capture the interest of potential customers and generate revenue for nearby merchants. However, due to the dynamics of vehicles, IoV suffers from unstable communication links between vehicles, which reduces the delivery ratio of vehicle advertising. To address this challenge and progress beyond the state-of-the-art work, this letter adopts Digital Twin (DT) to construct a social relationship model of vehicles and proposes a seed determination scheme for advertising dissemination. On this basis, a Deep Q-network (DQN)-based vehicle advertising dissemination scheme is proposed to determine the updating frequency of the seeds and further improve dissemination efficiency.