Joint sensor and relay power control in tracking Gaussian mixture targets by wireless sensor networks

Bengua, JA; Tuan, HD; Duong, TQ; Vincent Poor, H

Joint sensor and relay power control in tracking Gaussian mixture targets by wireless sensor networks

Bengua, JA

Tuan, HD

Duong, TQ Vincent Poor, H

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Signal Processing, 2018, 66 (2), pp. 492 - 506
Issue Date:: 2018-01-15

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Field	Value	Language
dc.contributor.author	Bengua, JA https://orcid.org/0000-0001-9375-0449	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Duong, TQ	en_US
dc.contributor.author	Vincent Poor, H	en_US
dc.date.issued	2018-01-15	en_US
dc.identifier.citation	IEEE Transactions on Signal Processing, 2018, 66 (2), pp. 492 - 506	en_US
dc.identifier.issn	1053-587X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118613
dc.description.abstract	© 2017 IEEE. This paper considers a wireless sensor network for locating a static target or tracking a dynamic target, which is characterized a priori by a Gaussian mixture distribution. An amplify- and-forward relay node acts as a wireless bridge in relaying the sensor’s independent observations of the target to a fusion center (FC). Joint power allocation is considered for the sensors and relay to optimize a Bayesian filter, which is deployed at the FC for a global estimate of the target. The mean squared error of the Bayesian filter is already computationally intractable for fixed sensor and relay transmitter power, so power allocation to minimize its mean squared error is a very challenging problem. In this paper, the problem is addressed by an iterative procedure of very low computational complexity. Simulations are provided to support the efficiency of our proposed power allocation.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP130104617
dc.relation.ispartof	IEEE Transactions on Signal Processing	en_US
dc.relation.isbasedon	10.1109/TSP.2017.2749211	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Joint sensor and relay power control in tracking Gaussian mixture targets by wireless sensor networks	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	66	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	MD Multidisciplinary	en_US
utslib.for	0805 Distributed Computing	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	66	en_US

Abstract:

© 2017 IEEE. This paper considers a wireless sensor network for locating a static target or tracking a dynamic target, which is characterized a priori by a Gaussian mixture distribution. An amplify- and-forward relay node acts as a wireless bridge in relaying the sensor’s independent observations of the target to a fusion center (FC). Joint power allocation is considered for the sensors and relay to optimize a Bayesian filter, which is deployed at the FC for a global estimate of the target. The mean squared error of the Bayesian filter is already computationally intractable for fixed sensor and relay transmitter power, so power allocation to minimize its mean squared error is a very challenging problem. In this paper, the problem is addressed by an iterative procedure of very low computational complexity. Simulations are provided to support the efficiency of our proposed power allocation.

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http://hdl.handle.net/10453/118613