Goudarzi, S., Wang, W., Xiao, P. et al. (2 more authors) (2022) UAV-enabled Edge Computing for optimal task distribution in target tracking. In: Proceedings of the 2022 25th International Conference on Information Fusion (FUSION). 2022 25th International Conference on Information Fusion (FUSION), 04-07 Jul 2022, Linköping, Sweden. Institute of Electrical and Electronics Engineers . ISBN 9781665489416
Abstract
Unmanned aerial vehicles (UAVs) are useful devices due to their great manoeuvrability for long-range outdoor target tracking. However, these tracking tasks can lead to sub-optimal performance due to high computation requirements and power constraints. To cope with these challenges, we design a UAV-based target tracking algorithm where computationally intensive tasks are offloaded to Edge Computing (EC) servers. We perform joint optimization by considering the trade-off between transmission energy consumption and execution time to determine optimal edge nodes for task processing and reliable tracking. The simulation results demonstrate the superiority of the proposed UAV-based target tracking on the predefined trajectory over several existing techniques.
Metadata
Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This accepted manuscript version is available under a Creative Commons Attribution CC BY licence. (http://creativecommons.org/licenses/by/4.0) | ||||||
Keywords: | Edge computing (EC); task offloading; unmanned aerial vehicle (UAV) | ||||||
Dates: |
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Institution: | The University of Sheffield | ||||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) | ||||||
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Depositing User: | Symplectic Sheffield | ||||||
Date Deposited: | 01 Jun 2022 13:18 | ||||||
Last Modified: | 01 Sep 2022 10:52 | ||||||
Status: | Published | ||||||
Publisher: | Institute of Electrical and Electronics Engineers | ||||||
Refereed: | Yes | ||||||
Identification Number: | https://doi.org/10.23919/FUSION49751.2022.9841357 | ||||||
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