Dynamic task offloading method for low-energy UAV in SAGIN

The space-air-ground integrated network (SAGIN) takes advantage of this characteristic to achieve all-round and high-quality coverage and connection. However, Unmanned Aerial Vehicles (UAVs) have limited energy and computational capabilities. Therefore, when the energy of a UAV is insufficient, it is particularly important to dynamically offload the tasks that are being processed or about to be offloaded to this low-energy UAV. To this end, a joint optimization scheme is proposed to minimize the transmission and computing delays of dynamic task offloading. The simulation results show that, compared with other methods, the proposed method can effectively reduce the transmission and computing delays during dynamic task offloading.