Trust-based Intermediary Vehicle Election Provisioning with Resilience Under Information Asymmetry

With the fast development of the Internet of Vehicles (IoV), the determination of task offloading destinations has been extensively studied. However, the lack of global information makes the existing research unable to apply in the scenario of information asymmetry. In this paper, we first propose a novel intermediary vehicle-assisted task offloading (IVATO) framework under information asymmetry. Then, we develop an intermediary vehicle election mechanism comprehensively considering the trust value and information mastery degree. In this mechanism, we develop a trust value evaluation method based on resilience. In addition, we introduce the indicator of information mastery degree to measure how much information the vehicle has. Finally, simulation results manifest that the proposed trust evaluation method is more reasonable in the long term compared to existing works. Moreover, the performance of the intermediary vehicles can be stably maintained between 0.85 and 1.