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    Threshold-based Adaptive Detection for WSN

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    Abuzaid_Ahmed_Slim_ThersholdWSN.pdf
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    Description:
    Poster
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    Type
    Poster
    Authors
    Abuzaid, Abdulrahman I.
    Ahmed, Qasim Zeeshan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2014-01-06
    Permanent link to this record
    http://hdl.handle.net/10754/624006
    
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    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.
    Conference/Event name
    Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014)
    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)

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