A Trust-aware Fog Offloading Game with Long-term Trustworthiness of Users

Abstract

The novel fog computing can save substantial resources for resource-constrained mobile users with computation offloading. However, in the existing on-demand schemes, the fog node cannot satisfy the users' demands during peak time due to its limited resources. Therefore, an efficientallocation scheme is desirable, in which the users' priority is evaluated and sorted based on their features, e.g., trustworthiness. In terms of the trust, allocating resources and motivating users to behave cooperatively are important for network efficiency and fairness. In this paper, a long-term trust-based offloading scheme (LTOS) is proposed with a resource allocation scheme and a non-cooperative game. Firstly, a long-term trust evaluation scheme is designed considering the users' behaviors in the task assignment process. In the offloading process, the computation and transmission resources are allocated to users based on their trust values. In addition, a non-cooperative offloading game is formulated to maximize users' utilities, which considers the joint optimization of energy cost and delay. The simulation results demonstrate that our proposed long-term trust-based offloading scheme is more efficient than existing on-demand methods in terms of energy cost and delay. Moreover, the task acceptance and trust level of users can be improved with the proposed LTOS.

Publication Title

2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings

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