Abstract: Aiming at the problem of resource competition among internet of things (IoT) devices in mobile edge computing (MEC), this paper proposes a resource allocation strategy based on Stackelberg game. Under the MEC system architecture composed of edge server and internet of things devices, this paper established a communication computing model to maximize the utility of participants, while considering the influence of channel conditions and devices competition. This model used the best response algorithm and the optimal pricing algorithm to get the optimal resource allocation strategy and pricing strategy, and proved the existence and uniqueness of Nash equilibrium by the game theory method. Simulation experiments show that the proposed algorithms have good convergence and perform better than the compared algorithms in different environments, which proves the effectiveness and reliability of the proposed algorithms.