Reference : Energy-efficient distributed spectrum sensing with convex optimization
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/14591
Energy-efficient distributed spectrum sensing with convex optimization
English
Maleki, Sina mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Pandharipande, Ashish []
Leus, Geert []
Dec-2009
3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009
Yes
Yes
International
3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009
13-16 Dec. 2009
Aruba
Dutch Antilles
[en] Cognitive radios ; Convex Optimization ; distributed spectrum sensing ; Detection and fusion performance
[en] We consider the problem of distributed spectrum sensing in cognitive radio networks with a central fusion center, from an energy efficiency viewpoint. In our scheme, each cognitive radio adopts a combination of sleeping and censoring to obtain a sensing result based on energy detection, while the fusion center combines all the sensing results using an OR decision rule. Our goal is to minimize the network energy consumption, given constraints on the global probabilities of detection and false-alarm. We show that the underlying optimization problem can be solved as a convex optimization problem. We then show the energy efficiency of our scheme via simulations using a ZigBee transceiver model.
http://hdl.handle.net/10993/14591
10.1109/CAMSAP.2009.5413246
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5413246&isnumber=5413223

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