Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring

Nguyen, LV; Hu, G; Spanos, CJ

Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring

Nguyen, LV

Hu, G Spanos, CJ

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, LV https://orcid.org/0000-0001-5360-886X	en_US
dc.contributor.author	Hu, G	en_US
dc.contributor.author	Spanos, CJ	en_US
dc.date.available	2020-10-31T18:09:55Z
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018	en_US
dc.identifier.issn	2168-2216	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128336
dc.description.abstract	IEEE This paper addresses the problem of efficiently deploying sensors in spatial environments, e.g., buildings, for the purposes of monitoring spatio-temporal environmental phenomena. By modeling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality-cost function of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is proven not to be affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment optimization problem is then solved by a practical and feasible polynomial algorithm, where its solutions are theoretically proven to be guaranteed. The proposed method is also theoretically and experimentally compared with the existing works. The effectiveness of the proposed algorithm is demonstrated by implementation in a real tested space in a university building, where the obtained results are highly promising.	en_US
dc.relation.ispartof	IEEE Transactions on Systems, Man, and Cybernetics: Systems	en_US
dc.relation.isbasedon	10.1109/TSMC.2018.2872041	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring	en_US
dc.type	Journal Article
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
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

IEEE This paper addresses the problem of efficiently deploying sensors in spatial environments, e.g., buildings, for the purposes of monitoring spatio-temporal environmental phenomena. By modeling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality-cost function of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is proven not to be affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment optimization problem is then solved by a practical and feasible polynomial algorithm, where its solutions are theoretically proven to be guaranteed. The proposed method is also theoretically and experimentally compared with the existing works. The effectiveness of the proposed algorithm is demonstrated by implementation in a real tested space in a university building, where the obtained results are highly promising.

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http://hdl.handle.net/10453/128336