Wireless Powered Collaborative UAV-Enabled Mobile Edge Computing for the weighted time and energy minimization

In this paper, we considers a wireless powered collaborative mobile edge computing network for UAV-enabled Cyber-Physical systems, where the UAV, as the power source and the edge cloud, provide the charging and task offloading opportunities to the ground IoT devices. In consideration of the task offloading strategies, devices association, charging resource allocation, we aim to evaluate the optimal system energy-delay tradeoff. To solve the mixed-integer non-convex problem, an iterative algorithm are proposed to obtain the high-quality suboptimal solution. Finally, the accuracy of our proposed scheme are verified via comparing with the Monte Carlo simulations and other baseline schemes.