Key points are not available for this paper at this time.
In this paper, we study the offloading problem in a mobile edge computing (MEC) network consisting of two-tier UAV. The high-altitude platform unmanned aerial vehicle (HAP-UAV) is equipped with a MEC server to complete the computing tasks of the low altitude platform unmanned aerial vehicle (LAP-UAV). We propose a multi-leader multi-follower Stackelberg game to formulate the two-tier UAV MEC offloading problem. As the leaders of the game, the HAP-UAVs optimize their pricing by considering the behavior of their competitors to maximize their revenue. Each LAP-UAV selects the best computing tasks offload strategy to minimize latency. From this perspective, the stochastic equilibrium problem of equilibrium program with equilibrium constraints (EPEC) model is proposed to develop the optimal supply strategies for HAP-UAVs to maximize their profits and minimize LAP-UAVs' cost. Simulation results show that the offloading delay of LAP-UAVs can be reduced by the proposed scheme.
Liu et al. (Sat,) studied this question.