A Fog-based Reputation Evaluation Model for VANETs

Fog computing can play an important role in Vehicular Ad Hoc Networks (VANETs) in enhancing the quality of fog-based services. The idea of partial reliance on fog computing to support the existing infrastructure has been explored in few research papers. Fog computing holds the promise of significant potential benefits to edge users. The capabilities of fog and its position (i.e., the proximity from edge users) give fog the power to play a vital role in employing the most competent node. In other words, fog can reduce the workload that is required to do by the vehicles (e.g., propagating the event’s details, and evaluating the trust of the sender). In this paper, we deploy fog nodes to gather the trust evaluations from the vehicles, which allow fog nodes to rely on their local vehicles to do certain tasks. Also, fog nodes are used in this work to keep the records of its local vehicles to reduce the need to communicate with the cloud. Also, we proposed a scheme using Task-based Experience Reputation (TER), which reflects the vehicle’s reputation in performing certain tasks. Finally, we shed the light on the issue of two commonly used trust updating methods and, we proposed applying the concept of TER to solve this issue. The proposed model reduces the message transmission overhead and workload on the vehicles compared to experience-based trust models.