Jointly optimizing sensor selection and power control for nonlinear sensor networks

Rashid, U; Tuan, HD; Apkarian, P; Kha, HH

Jointly optimizing sensor selection and power control for nonlinear sensor networks

Rashid, U Tuan, HD

Apkarian, P Kha, HH

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Publication Type:: Conference Proceeding
Citation:: 2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 360 - 364
Issue Date:: 2012-12-01

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Field	Value	Language
dc.contributor.author	Rashid, U	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Apkarian, P	en_US
dc.contributor.author	Kha, HH	en_US
dc.date.issued	2012-12-01	en_US
dc.identifier.citation	2012 International Symposium on Communications and Information Technologies, ISCIT 2012, 2012, pp. 360 - 364	en_US
dc.identifier.isbn	9781467311571	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31746
dc.description.abstract	Problem of joint optimization of active sensor selection and power control for nonlinear sensor networks is considered. The proposed solution expresses binary (discrete) constraints of the sensor selection problem as continuous d.c. (difference of two convex functions/sets) constraint along with an exact penalty function approach. Thus, the problem is expressed as minimization of a d.c. function subject to convex constraints. Subsequent simulation results indicate that the proposed method is able to locate its optimal solution and that the network performance can be fully achieved by activating half of the available sensor nodes. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 International Symposium on Communications and Information Technologies, ISCIT 2012	en_US
dc.relation.isbasedon	10.1109/ISCIT.2012.6380922	en_US
dc.title	Jointly optimizing sensor selection and power control for nonlinear sensor networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Gold Coast, QLD
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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Problem of joint optimization of active sensor selection and power control for nonlinear sensor networks is considered. The proposed solution expresses binary (discrete) constraints of the sensor selection problem as continuous d.c. (difference of two convex functions/sets) constraint along with an exact penalty function approach. Thus, the problem is expressed as minimization of a d.c. function subject to convex constraints. Subsequent simulation results indicate that the proposed method is able to locate its optimal solution and that the network performance can be fully achieved by activating half of the available sensor nodes. © 2012 IEEE.

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http://hdl.handle.net/10453/31746