Dynamic Contract-Based Resource Sharing Incentive Method for Vehicular Edge Computing-Assisted IoT Networks

Vehicular edge computing (VEC) is a promising paradigm to reduce the processing delay of computation resource-intensive tasks by offloading them to the vehicular edge servers. The available computing resources and private information of vehicular edge servers (VESs) are dynamic and time-varying. Therefore, how to incent the VES in such dynamic environments is still a challenge. In this paper, we propose a dynamic contract-based incentive method in VEC-assisted IoT networks under asymmetric information scenario. The optimal contracts are derived to maximize the expected utility of edge servers under both independent asymmetric information and correlated asymmetric information. Numerical results are presented to evaluate the effectiveness of the proposed dynamic contract-based incentive mechanisms.