Trajectory Design for Energy-Efficient UAV-Assisted Data Collection and Computation Offloading
Distinguished Research Seminar Series
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Date
25 Sep 2024
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Organiser
Department of Industrial and Systems Engineering, PolyU
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Time
14:00 - 15:30
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Venue
CD301
Speaker
Prof. Wei Ni
Summary
Unmanned aerial vehicles (UAVs) have been increasingly applied to support data collection and edge computing over large, remote and poorly connected areas. The challenges arising include the joint design of the three-CD301dimensional trajectory of a UAV and the transmission schedule of the ground devices that are dispersed over large areas and need to upload data or offload computing tasks. The challenges can be even more prominent when fairness and delays need to be considered among the ground devices. In this seminar, we will talk about new optimisation techniques that can address these challenges. We start with three-dimensional (3D) trajectory planning for energy-efficient UAV-based data collection, followed by trajectory designs offering max-min fairness among the devices. At last, we talk about UAV-assisted mobile edge computing, where task offloading and result delivery have stringent delay requirements, and the 3D trajectory of the UAV needs to be meticulously designed to meet the requirements.
Keynote Speaker
Prof. Wei Ni
Conjoint Professor
School of Computer Science and Engineering,
University of New South Wales
Wei Ni received his B.E. and Ph.D. degrees in electronics engineering from Fudan University, Shanghai, China, in 2000 and 2005, respectively. He is a Principal Research Scientist with CSIRO and a Conjoint Professor with the University of New South Wales. He is also an Adjunct Professor with the University of Technology Sydney and an Honorary Professor with Macquarie University. He was a Post-Doctoral Fellow with Shanghai Jiaotong University from 2005 to 2008, Deputy Project Manager with Alcatel-Lucent Bell Labs from 2005 to 2008, and a Senior Researcher with Nokia from 2008 to 2009. He has (co)authored one book, ten book chapters, more than 300 journal articles, more than 100 conference papers, 26 patents, and ten standard proposals accepted by IEEE. His research interests include machine learning, online learning, stochastic optimization, and their applications to the security, integrity, and efficiency of network systems. He is a Fellow of IEEE. Wei has been an Editor for IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY since 2022, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS since 2018, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY since 2024, IEEE COMMUNICATIONS SURVEYS AND TUTORIALS since 2024, and Cambridge Press New Research Directions: Cyber-Physical Systems since 2022. He served as the Chair for the IEEE Vehicular Technology Society New South Wales Chapter from 2020 to 2022, Secretary and then Vice-Chair for the Chapter from 2015 to 2019, Track Chair for VTC Spring 2017, Track Co-Chair for IEEE VTC-Spring 2016, Publication Chair for BodyNet 2015, and Student Travel Grant Chair for WPMC 2014.
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