Stackelberg-Game-Based Mechanism For Offloading Fog Nodes Selection

As a supplement of cloud computing, fog computing has attracted wide attention due to its lower latency in data offloading. At present, most researches can only offload data through fixed nodes or can not effectively reduce the offloading delay of different types of data. And it is still a great challenge to develop an effective mechanism for offloading fog nodes selection. Due to the consumption of bandwidth, storage capacity, power and other resources in the process of data transmission, we must formulate a pricing strategy to ensure the revenue of fog nodes. Game theory is a widely adopted method to analyze the pricing strategy between clients and fog nodes. Therefore, this paper uses Stackelberg game to model the interaction between clients and fog nodes. And put forward the best strategy of clients and fog nodes by seeking their Nash equilibrium. Finally, the simulation results show that this mechanism can effectively reduce the offloading delay of clients and improve the revenue of fog nodes.