Incentive Mechanism with the Caching Strategy for Content Sharing in Vehicular Networks

Abstract

With the development of cellular vehicle-to- everything(C-V2X) services, content sharing through vehicle-to-vehicle(V2V) communications becomes an effective solution for overburdened vehicular networks. However, due to the different content preferences and limited resources of rational vehicles, vehicle owners are reluctant to participate in content sharing. To address this issue, we first propose a dynamic pricing-based incentive mechanism by jointly considering content information and link status to stimulate content sharing in C-V2X-based vehicular networks. Considering that content sharing among vehicles is supported by vehicle caching, we then propose a caching replacement strategy to further improve the quality of content sharing. Particularly, we employ the multi-factor stock selection model to predict the future revenue of cached contents. We present numerical simulation results to show that the proposed incentive mechanism with the caching strategy can effectively improve the content delivery ratio and hit ratio in vehicular networks.