Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs

Tran, LC; Le, AT; Huang, X; Dutkiewicz, E; Ngo, D; Taparugssanagorn, A

Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs

Tran, LC Le, AT Huang, X

Dutkiewicz, E

Ngo, D Taparugssanagorn, A

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Sensors Letters, 2023, 7, (11)
Issue Date:: 2023-11-01

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Field	Value	Language
dc.contributor.author	Tran, LC
dc.contributor.author	Le, AT
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732
dc.contributor.author	Dutkiewicz, E https://orcid.org/0000-0002-4268-9286
dc.contributor.author	Ngo, D
dc.contributor.author	Taparugssanagorn, A
dc.date.accessioned	2024-03-25T07:43:24Z
dc.date.available	2024-03-25T07:43:24Z
dc.date.issued	2023-11-01
dc.identifier.citation	IEEE Sensors Letters, 2023, 7, (11)
dc.identifier.issn	2475-1472
dc.identifier.issn	2475-1472
dc.identifier.uri	http://hdl.handle.net/10453/177120
dc.description.abstract	Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have tremendous potential applications due to their flexibility and rapid deployment. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization techniques are commonly used due to their high accuracy. The conventional TOA/AOA localization algorithms require both zenith and azimuth angle estimations at each agent. Since a zenith-and-azimuth AOA estimation requires an L-shape antenna array and complicated 2-D signal processing, conventional TOA/AOA algorithms lead to both hardware and computational complexity and high power consumption at each agent. This letter proposes a hybrid TOA/AOA localization algorithm, named $\text{T1A}_{a}$, to reduce the agents' complexity. $\text{T1A}_{a}$ only combines TOA-ranging with the azimuth angle estimation. Thereby, agents only require a 1-D antenna array, less complicated signal processing, and thus, lower power consumption. Such improvements are important for power-limited WSNs and Internet-of-Things (IoT) systems. Simulations are conducted to prove that the proposed $\text{T1A}_{a}$ technique can achieve similar performance as conventional TOA/AOA methods, while significantly simplifying agents' complexity.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Sensors Letters
dc.relation.isbasedon	10.1109/LSENS.2023.3322968
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.title	Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs
dc.type	Journal Article
utslib.citation.volume	7
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-25T07:43:23Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	7
utslib.citation.issue	11

Abstract:

Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have tremendous potential applications due to their flexibility and rapid deployment. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization techniques are commonly used due to their high accuracy. The conventional TOA/AOA localization algorithms require both zenith and azimuth angle estimations at each agent. Since a zenith-and-azimuth AOA estimation requires an L-shape antenna array and complicated 2-D signal processing, conventional TOA/AOA algorithms lead to both hardware and computational complexity and high power consumption at each agent. This letter proposes a hybrid TOA/AOA localization algorithm, named $\text{T1A}_{a}$, to reduce the agents' complexity. $\text{T1A}_{a}$ only combines TOA-ranging with the azimuth angle estimation. Thereby, agents only require a 1-D antenna array, less complicated signal processing, and thus, lower power consumption. Such improvements are important for power-limited WSNs and Internet-of-Things (IoT) systems. Simulations are conducted to prove that the proposed $\text{T1A}_{a}$ technique can achieve similar performance as conventional TOA/AOA methods, while significantly simplifying agents' complexity.

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http://hdl.handle.net/10453/177120