Threshold-based Adaptive Detection for WSN

Handle URI:
http://hdl.handle.net/10754/624006
Title:
Threshold-based Adaptive Detection for WSN
Authors:
Abuzaid, Abdulrahman I.; Ahmed, Qasim Zeeshan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Efficient receiver designs for wireless sensor networks (WSNs) are becoming increasingly important. Cooperative WSNs communicated with the use of L sensors. As the receiver is constrained, it can only process U out of L sensors. Channel shortening and reduced-rank techniques were employed to design the preprocessing matrix. In this work, a receiver structure is proposed which combines the joint iterative optimization (JIO) algorithm and our proposed threshold selection criteria. This receiver structure assists in determining the optimal Uopt. It also provides the freedom to choose U<Uopt for each frame depending upon the tolerable difference allowed for mean square error (MSE). It is possible to gain in terms of complexity savings without affecting the BER performance of the system.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences & Engineering (CEMSE)
Conference/Event name:
Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
Issue Date:
6-Jan-2014
Type:
Poster
Appears in Collections:
Posters; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)

Full metadata record

DC FieldValue Language
dc.contributor.authorAbuzaid, Abdulrahman I.en
dc.contributor.authorAhmed, Qasim Zeeshanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-06-01T10:20:43Z-
dc.date.available2017-06-01T10:20:43Z-
dc.date.issued2014-01-06-
dc.identifier.urihttp://hdl.handle.net/10754/624006-
dc.description.abstractEfficient receiver designs for wireless sensor networks (WSNs) are becoming increasingly important. Cooperative WSNs communicated with the use of L sensors. As the receiver is constrained, it can only process U out of L sensors. Channel shortening and reduced-rank techniques were employed to design the preprocessing matrix. In this work, a receiver structure is proposed which combines the joint iterative optimization (JIO) algorithm and our proposed threshold selection criteria. This receiver structure assists in determining the optimal Uopt. It also provides the freedom to choose U<Uopt for each frame depending upon the tolerable difference allowed for mean square error (MSE). It is possible to gain in terms of complexity savings without affecting the BER performance of the system.en
dc.subjectWirelessen
dc.titleThreshold-based Adaptive Detection for WSNen
dc.typePosteren
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences & Engineering (CEMSE)en
dc.conference.dateJanuary 6-10, 2014en
dc.conference.nameAdvances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)en
dc.conference.locationKAUSTen
kaust.authorAbuzaid, Abdulrahman I.en
kaust.authorAhmed, Qasim Zeeshanen
kaust.authorAlouini, Mohamed-Slimen
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