Show simple item record

dc.contributor.authorBushnaq, Osama
dc.contributor.authorChaaban, Anas
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2018-01-01T12:59:19Z
dc.date.available2018-01-01T12:59:19Z
dc.date.issued2017-12-22
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.
dc.identifier.doi10.1109/SPAWC.2017.8227640
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.
dc.description.sponsorshipThis work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8227640/
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.
dc.subjectEstimation error
dc.subjectKalman filters
dc.subjectSensors
dc.subjectState estimation
dc.subjectWireless communication
dc.subjectWireless sensor networks
dc.titleJoint sensor location/power rating optimization for temporally-correlated source estimation
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
dc.eprint.versionPost-print
kaust.personBushnaq, Osama
kaust.personChaaban, Anas
kaust.personAl-Naffouri, Tareq Y.
kaust.grant.numberOSR-2015-Sensors-2700
refterms.dateFOA2018-06-14T07:07:25Z
dc.date.published-online2017-12-22
dc.date.published-print2017-07


Files in this item

Thumbnail
Name:
cam_rdy_SPAWC.pdf
Size:
134.7Kb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record