Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks

Le, AT; Tran, LC; Huang, X; Ritz, C; Dutkiewicz, E; Phung, SL; Bouzerdoum, A; Franklin, D

Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks

Le, AT Tran, LC Huang, X Ritz, C Dutkiewicz, E Phung, SL Bouzerdoum, A Franklin, D

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Sensors, 2020, 20, (14), pp. 3838-3838
Issue Date:: 2020-07-09

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Field	Value	Language
dc.contributor.author	Le, AT
dc.contributor.author	Tran, LC
dc.contributor.author	Huang, X
dc.contributor.author	Ritz, C
dc.contributor.author	Dutkiewicz, E
dc.contributor.author	Phung, SL
dc.contributor.author	Bouzerdoum, A
dc.contributor.author	Franklin, D https://orcid.org/0000-0002-9563-5943
dc.date.accessioned	2020-07-21T07:20:03Z
dc.date.available	2020-07-06
dc.date.available	2020-07-21T07:20:03Z
dc.date.issued	2020-07-09
dc.identifier.citation	Sensors, 2020, 20, (14), pp. 3838-3838
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10453/141825
dc.description.abstract	Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.
dc.language	en
dc.publisher	MDPI AG
dc.relation	NSW Department of Industry
dc.relation.ispartof	Sensors
dc.relation.isbasedon	10.3390/s20143838
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0301 Analytical Chemistry, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 0502 Environmental Science and Management, 0602 Ecology
dc.subject.classification	Analytical Chemistry
dc.title	Unbalanced Hybrid AOA/RSSI Localization for Simplified Wireless Sensor Networks
dc.type	Journal Article
utslib.citation.volume	20
utslib.for	0301 Analytical Chemistry
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0502 Environmental Science and Management
utslib.for	0602 Ecology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-07-21T07:19:52Z
pubs.issue	14
pubs.publication-status	Published online
pubs.volume	20
utslib.citation.issue	14

Abstract:

Source positioning using hybrid angle-of-arrival (AOA) estimation and received signal strength indicator (RSSI) is attractive because no synchronization is required among unknown nodes and anchors. Conventionally, hybrid AOA/RSSI localization combines the same number of these measurements to estimate the agents’ locations. However, since AOA estimation requires anchors to be equipped with large antenna arrays and complicated signal processing, this conventional combination makes the wireless sensor network (WSN) complicated. This paper proposes an unbalanced integration of the two measurements, called 1AOA/nRSSI, to simplify the WSN. Instead of using many anchors with large antenna arrays, the proposed method only requires one master anchor to provide one AOA estimation, while other anchors are simple single-antenna transceivers. By simply transforming the 1AOA/1RSSI information into two corresponding virtual anchors, the problem of integrating one AOA and N RSSI measurements is solved using the least square and subspace methods. The solutions are then evaluated to characterize the impact of angular and distance measurement errors. Simulation results show that the proposed network achieves the same level of precision as in a fully hybrid nAOA/nRSSI network with a slightly higher number of simple anchors.

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http://hdl.handle.net/10453/141825