UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking

Shidrokh Goudarzi; Wenwu Wang; Pei Xiao; Lyudmila Mihaylova; Simon Godsill

doi:10.23919/FUSION49751.2022.9841357

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UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking

Conference proceeding

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UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking

Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova and Simon Godsill

2022 25th International Conference on Information Fusion (FUSION 2022), pp.1-7

2022 25th International Conference on Information Fusion (FUSION 2022) (Linkoping, Sweden, 04/07/2022–07/07/2022)

09/2022

DOI: https://doi.org/10.23919/FUSION49751.2022.9841357

Abstract

Autonomous aerial vehicles

Edge computing (EC)

Performance evaluation

Reliability

Servers

Simulation

Target tracking

task offloading

Trajectory

unmanned aerial vehicle (UAV)

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.

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Title: UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking
Creators: Shidrokh Goudarzi - University of Surrey, School of Computer Science and Electronic Engineering
Wenwu Wang - University of Surrey, School of Computer Science and Electronic Engineering
Pei Xiao - University of Surrey, School of Computer Science and Electronic Engineering
Lyudmila Mihaylova - University of Sheffield
Simon Godsill - University of Cambridge
Publication Details: 2022 25th International Conference on Information Fusion (FUSION 2022), pp.1-7
Conference: 2022 25th International Conference on Information Fusion (FUSION 2022) (Linkoping, Sweden, 04/07/2022–07/07/2022)
Publisher: International Society of Information Fusion (ISIF)
First online publication date: 09/08/2022
Publication Date: 09/2022
Date accepted for publication: 01/05/2022
Grants: SIGNetS project, W911NF-20-2-0225, Ministry of Defence (United Kingdom, London) - MoD
Grant note: This research is sponsored by the US Army Research Laboratory and the UK MOD University Defence Research Collaboration (UDRC) in Signal Processing under the SIGNeTS project. It is accomplished under Cooperative Agreement Number W911NF-20-2-0225. The views and conclusions contained in this document are of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory, the MOD, the U.S. Government or the U.K. Government. The U.S. Government and U.K. Government are authorised to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
Identifiers: 99659066502346
Copyright: © 2022, International Society of Information Fusion (ISIF). All Rights Reserved. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Conference proceeding

UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking

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