Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment

Singh, M; Rathor, VS; Sahoo, KS; Gandomi, AH

Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment

Singh, M Rathor, VS Sahoo, KS Gandomi, AH

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2023, 00, pp. 238-245
Issue Date:: 2023-12-07

In Progress

	Filename	Description	Size
	Variable functioning and its application to large scale steel frame design optimization.pdf	Published version	2.46 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is being processed and is not currently available.

Full metadata record

Field	Value	Language
dc.contributor.author	Singh, M
dc.contributor.author	Rathor, VS
dc.contributor.author	Sahoo, KS
dc.contributor.author	Gandomi, AH
dc.contributor.editor	Ishibuchi, H
dc.contributor.editor	Kwoh, CK
dc.contributor.editor	Tan, AH
dc.contributor.editor	Srinivasan, D
dc.contributor.editor	Miao, C
dc.contributor.editor	Trivedi, A
dc.contributor.editor	Crockett, K
dc.date	2022-12-04
dc.date.accessioned	2024-05-10T11:11:40Z
dc.date.available	2024-05-10T11:11:40Z
dc.date.issued	2023-12-07
dc.identifier.citation	2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2023, 00, pp. 238-245
dc.identifier.isbn	978-1-6654-8768-9
dc.identifier.uri	http://hdl.handle.net/10453/178817
dc.description.abstract	Due to the rapid expansion of the Internet of Things (IoT), modern buildings are equipped with ubiquitous networked devices and ambient sensors. This transformation opened a new opportunity for occupancy detection using the current infrastructure. In the literature review, we identified various solutions that can facilitate passive localization using radio, motion sensors, RFID, NFC, and air quality sensors. However, radio devices are the most effective and inexpensive solution for occupancy detection. Passive localization (PL) is an emerging area of indoor occupancy detection. It has various applications in perimeter security, elderly monitoring, and the intelligent healthcare sector. In PL, the target is localized using the target-induced shadowed links within the wireless network. Researchers investigated various approaches for passive local-ization using analytical geometry and fingerprinting techniques. However, the existing fingerprinting and geometric schemes are computationally expensive and need a dense wireless network for greater accuracy. We have obtained better accuracy in the proposed PL scheme within a sparsely deployed wireless network. The performance of the proposed PL scheme is compared with the state-of-the-art Geometric filter (GF) scheme. The obtained results show that the proposed PL scheme achieved 0.21m mean accuracy of target tracking with 0.20 m of Root Mean Square Error (RMSE).
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2022 IEEE Symposium Series on Computational Intelligence (SSCI)
dc.relation.ispartof	IEEE Symposium Series on Computational Intelligence
dc.relation.isbasedon	10.1109/ssci51031.2022.10022273
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Singapore, Singapore
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	in_progress	*
pubs.consider-herdc	true
dc.date.updated	2024-05-10T11:11:38Z
pubs.finish-date	2022-12-07
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2022-12-04
pubs.volume	00
dc.location	Piscataway, USA

Abstract:

Due to the rapid expansion of the Internet of Things (IoT), modern buildings are equipped with ubiquitous networked devices and ambient sensors. This transformation opened a new opportunity for occupancy detection using the current infrastructure. In the literature review, we identified various solutions that can facilitate passive localization using radio, motion sensors, RFID, NFC, and air quality sensors. However, radio devices are the most effective and inexpensive solution for occupancy detection. Passive localization (PL) is an emerging area of indoor occupancy detection. It has various applications in perimeter security, elderly monitoring, and the intelligent healthcare sector. In PL, the target is localized using the target-induced shadowed links within the wireless network. Researchers investigated various approaches for passive local-ization using analytical geometry and fingerprinting techniques. However, the existing fingerprinting and geometric schemes are computationally expensive and need a dense wireless network for greater accuracy. We have obtained better accuracy in the proposed PL scheme within a sparsely deployed wireless network. The performance of the proposed PL scheme is compared with the state-of-the-art Geometric filter (GF) scheme. The obtained results show that the proposed PL scheme achieved 0.21m mean accuracy of target tracking with 0.20 m of Root Mean Square Error (RMSE).

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/178817