A new method of content distribution based on fuzzy logic and coalition graph games for VEC

Degan Zhang, Haoli Zhu, Ting Zhang, Jie Zhang, Jinyu Du, Guoqiang Mao

Abstract: With the rapid development of the Internet of Vehicles (IOV), how to effectively distributed content in IOV has been a key issue. To tackle this problem, vehicular edge computing is proposed as an effective solution. However, The expensive cost of deploying infrastructures such as roadside unit (RSU), which limits the range of content distribution. Besides, the rapid mobility of the vehicle seriously affects the efficiency of content distribution. To address this issue, in the article, we propose an approach of the content distribution scheme based on Fuzzy Logic and Coalition Graph Games. Specifically, first, the fuzzy logic is used to calculate the vehicle’s ability as a relay vehicle within the RSU communication range, and according to the density of the vehicle to determine the proportion of the selected relay vehicle. Then, we divided the road into sections, established alliance according to user similarity index and applied the coalition game theory in every block for content distribution. Extensive simulations validate that the proposed scheme show good performance in terms of reducing latency, energy consumption and expanding the distribution range of content.