Joint sensor location/power rating optimization for temporally-correlated source estimation

Handle URI:
http://hdl.handle.net/10754/626663
Title:
Joint sensor location/power rating optimization for temporally-correlated source estimation
Authors:
Bushnaq, Osama M.; Chaaban, Anas ( 0000-0002-8713-5084 ) ; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 )
Abstract:
The optimal sensor selection for scalar state parameter estimation in wireless sensor networks is studied in the paper. A subset of N candidate sensing locations is selected to measure a state parameter and send the observation to a fusion center via wireless AWGN channel. In addition to selecting the optimal sensing location, the sensor type to be placed in these locations is selected from a pool of T sensor types such that different sensor types have different power ratings and costs. The sensor transmission power is limited based on the amount of energy harvested at the sensing location and the type of the sensor. The Kalman filter is used to efficiently obtain the MMSE estimator at the fusion center. Sensors are selected such that the MMSE estimator error is minimized subject to a prescribed system budget. This goal is achieved using convex relaxation and greedy algorithm approaches.
KAUST Department:
Electrical Engineering Program
Citation:
Bushnaq OM, Chaaban A, Al-Naffouri T (2017) Joint sensor location/power rating optimization for temporally-correlated source estimation. 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2017.8227640.
Publisher:
IEEE
Journal:
2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
KAUST Grant Number:
OSR-2015-Sensors-2700
Issue Date:
22-Dec-2017
DOI:
10.1109/SPAWC.2017.8227640
Type:
Conference Paper
Sponsors:
This work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.
Additional Links:
http://ieeexplore.ieee.org/document/8227640/
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorBushnaq, Osama M.en
dc.contributor.authorChaaban, Anasen
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.date.accessioned2018-01-01T12:59:19Z-
dc.date.available2018-01-01T12:59:19Z-
dc.date.issued2017-12-22en
dc.identifier.citationBushnaq OM, Chaaban A, Al-Naffouri T (2017) Joint sensor location/power rating optimization for temporally-correlated source estimation. 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Available: http://dx.doi.org/10.1109/SPAWC.2017.8227640.en
dc.identifier.doi10.1109/SPAWC.2017.8227640en
dc.identifier.urihttp://hdl.handle.net/10754/626663-
dc.description.abstractThe optimal sensor selection for scalar state parameter estimation in wireless sensor networks is studied in the paper. A subset of N candidate sensing locations is selected to measure a state parameter and send the observation to a fusion center via wireless AWGN channel. In addition to selecting the optimal sensing location, the sensor type to be placed in these locations is selected from a pool of T sensor types such that different sensor types have different power ratings and costs. The sensor transmission power is limited based on the amount of energy harvested at the sensing location and the type of the sensor. The Kalman filter is used to efficiently obtain the MMSE estimator at the fusion center. Sensors are selected such that the MMSE estimator error is minimized subject to a prescribed system budget. This goal is achieved using convex relaxation and greedy algorithm approaches.en
dc.description.sponsorshipThis work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8227640/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectEstimation erroren
dc.subjectKalman filtersen
dc.subjectSensorsen
dc.subjectState estimationen
dc.subjectWireless communicationen
dc.subjectWireless sensor networksen
dc.titleJoint sensor location/power rating optimization for temporally-correlated source estimationen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)en
dc.eprint.versionPost-printen
kaust.authorBushnaq, Osama M.en
kaust.authorChaaban, Anasen
kaust.authorAl-Naffouri, Tareq Y.en
kaust.grant.numberOSR-2015-Sensors-2700en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.