Energy and Delay Efficient Partial Offloading for UAV-assisted MEC Systems using Differential Evolution Algorithm

The research describes a technique that enables an Unmanned Aerial Vehicle (UAV) to delegate a part of a task to mobile devices. By outsourcing the computationally costly sections of a work to the more capable UAV and using the mobile devices for tasks that can be completed locally, the system makes good use of the capabilities of both the UAV and mobile devices. In this paper, Differential Evolution (DE) based algorithm is proposed for energy and delay efficient partial offloading in UAV-assisted MEC system. An extensive Simulations have been done to measure the performance of the proposed algorithm. The results reveal a considerable reduction in latency. Overall, our method shows how partial task offloading may be used to enhance the performance of UAV-assisted systems.