Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV Enabled Mobile Edge Computing
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 27500035
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2019.2935466
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- 8833501
- First page
- 3984
- Volume
- 50
- Issue
- 9
- ISSN
- 2168-2267
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by National Natural Science Foundation of China (61673397) and Beijing Advanced Innovation Center for Intelligent Robots and Systems (2018IRS06), this paper has proposed a new multi-unmanned aerial vehicle (UAV) system. This research is the result of collaborative work with the world-leading expert (Prof Yong Wang, Highly Cited Researchers). This research has also contributed to an invited talk (https://emps.exeter.ac.uk/mathematics/news-events/colloquia/event/?semID=2478&dateID=5199).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
