Joint Optimization Approach to Multi-UAV-Assisted Large-Scale Mobile Edge Computing

This talk introduces how multiple unmanned aerial vehicles (UAVs) assist IoT devices in an edge computing system in accomplishing their tasks in an energy-efficient manner. UAVs serve these devices as edge servers, and fly to footholds to collect task data from the latter, execute tasks locally and return results to the latter. The optimization goal is to minimize overall energy consumption by jointly optimizing 1) association between each UAV and ground-based IoT devices, 2) deployments of UAVs, and 3) flight trajectories of UAVs. To achieve this, this talk proposes a Joint Optimization Approach (JOA) for the association between each UAV and ground-based IoT devices, deployment of UAVs, and UAV flight trajectories. It is verified on ten large-scale instances, and the results demonstrate its effectiveness in achieving minimal energy consumption, well outperforming the state-of-the-art methods. As a result, this research makes UAV-assisted large-scale mobile edge computing systems closer to its real applications to advance low-attitude space economic development.

MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent systems, robotics, Petri nets, Internet of Things, machine learning, and big data analytics. He has over 1300 publications including 17 books, over 900 journal papers including over 700 IEEE Transactions papers, 31 patents and 32 book-chapters. He is presently Senior Editor of IEEE Transactions on Intelligent Transportation Systems, and Associate Editor of Research, IEEE Internet of Things Journal, and Frontiers of Information Technology & Electronic Engineering. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. His work has received over 78800 GoogleScholar citations with h-index being 141. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).