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Energy-efficient distributed spectrum sensing with convex optimization
MALEKI, Sina; Pandharipande, Ashish; Leus, Geert
2009In 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009
Peer reviewed
 

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Keywords :
Cognitive radios; Convex Optimization; distributed spectrum sensing; Detection and fusion performance
Abstract :
[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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
MALEKI, Sina ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Pandharipande, Ashish
Leus, Geert
Language :
English
Title :
Energy-efficient distributed spectrum sensing with convex optimization
Publication date :
December 2009
Event name :
3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009
Event place :
Aruba (Dutch Antilles), Netherlands
Event date :
13-16 Dec. 2009
By request :
Yes
Audience :
International
Main work title :
3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 09 January 2014

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