Optimizing Placement and Number of RF Beacons to Achieve Better Indoor Localization

Falque, R; Patel, M; Biehl, J

Optimizing Placement and Number of RF Beacons to Achieve Better Indoor Localization

Falque, R Patel, M Biehl, J

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE International Conference on Robotics and Automation, 2018, pp. 2304 - 2311
Issue Date:: 2018-09-10

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Field	Value	Language
dc.contributor.author	Falque, R	en_US
dc.contributor.author	Patel, M	en_US
dc.contributor.author	Biehl, J	en_US
dc.date.issued	2018-09-10	en_US
dc.identifier.citation	Proceedings - IEEE International Conference on Robotics and Automation, 2018, pp. 2304 - 2311	en_US
dc.identifier.isbn	9781538630815	en_US
dc.identifier.issn	1050-4729	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133649
dc.description.abstract	© 2018 IEEE. In this paper, we propose a novel solution to optimize the deployment of Radio Frequency (RF) beacons for the purpose of indoor localization. We propose a system that optimizes both the number of beacons and their placement in a given environment. We propose a novel cost-function, called CovBsm, that allows to simultaneously optimize the 3-coverage while maximizing the beacon spreading. Using this cost function, we propose a framework that maximize both the number of beacons and their placement in a given environment. The proposed solution accounts for the indoor infrastructure and its influence on the RF signal propagation by embedding a realistic simulator into the optimization process.	en_US
dc.relation.ispartof	Proceedings - IEEE International Conference on Robotics and Automation	en_US
dc.relation.isbasedon	10.1109/ICRA.2018.8460202	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Optimizing Placement and Number of RF Beacons to Achieve Better Indoor Localization	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
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/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. In this paper, we propose a novel solution to optimize the deployment of Radio Frequency (RF) beacons for the purpose of indoor localization. We propose a system that optimizes both the number of beacons and their placement in a given environment. We propose a novel cost-function, called CovBsm, that allows to simultaneously optimize the 3-coverage while maximizing the beacon spreading. Using this cost function, we propose a framework that maximize both the number of beacons and their placement in a given environment. The proposed solution accounts for the indoor infrastructure and its influence on the RF signal propagation by embedding a realistic simulator into the optimization process.

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http://hdl.handle.net/10453/133649