Energy-efficient distributed spectrum sensing with convex optimization

Sina Maleki; Ashish Pandharipande; Geert Leus

doi:10.1109/CAMSAP.2009.5413246

Energy-efficient distributed spectrum sensing with convex optimization

Sina Maleki
, Ashish Pandharipande
, Geert Leus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

23 Citations (Scopus)

Abstract

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 falsealarm. 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.

Original language	English
Title of host publication	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Publisher	Institute of Electrical and Electronics Engineers
Pages	396-399
Number of pages	4
ISBN (Print)	978-1-4244-5179-1
DOIs	https://doi.org/10.1109/CAMSAP.2009.5413246
Publication status	Published - 2009
Externally published	Yes
Event	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 - Aruba, Netherlands Duration: 13 Dec 2009 → 16 Dec 2009

Conference

Conference	2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009
Country/Territory	Netherlands
City	Aruba
Period	13/12/09 → 16/12/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Cognitive radios
Convex optimization
Detection and fusion performance
Distributed spectrum sensing

Access to Document

10.1109/CAMSAP.2009.5413246

Cite this

@inproceedings{00acd19f69bd48149f60806a12985c4e,

title = "Energy-efficient distributed spectrum sensing with convex optimization",

abstract = "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 falsealarm. 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.",

keywords = "Cognitive radios, Convex optimization, Detection and fusion performance, Distributed spectrum sensing",

author = "Sina Maleki and Ashish Pandharipande and Geert Leus",

year = "2009",

doi = "10.1109/CAMSAP.2009.5413246",

language = "English",

isbn = "978-1-4244-5179-1",

pages = "396--399",

booktitle = "2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 ; Conference date: 13-12-2009 Through 16-12-2009",

}

Maleki, S, Pandharipande, A & Leus, G 2009, Energy-efficient distributed spectrum sensing with convex optimization. in 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)., 5413246, Institute of Electrical and Electronics Engineers, pp. 396-399, 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009, Aruba, Netherlands, 13/12/09. https://doi.org/10.1109/CAMSAP.2009.5413246

Energy-efficient distributed spectrum sensing with convex optimization. / Maleki, Sina; Pandharipande, Ashish; Leus, Geert.
2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). Institute of Electrical and Electronics Engineers, 2009. p. 396-399 5413246.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Energy-efficient distributed spectrum sensing with convex optimization

AU - Maleki, Sina

AU - Pandharipande, Ashish

AU - Leus, Geert

PY - 2009

Y1 - 2009

N2 - 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 falsealarm. 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.

AB - 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 falsealarm. 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.

KW - Cognitive radios

KW - Convex optimization

KW - Detection and fusion performance

KW - Distributed spectrum sensing

UR - https://www.scopus.com/pages/publications/77951118945

U2 - 10.1109/CAMSAP.2009.5413246

DO - 10.1109/CAMSAP.2009.5413246

M3 - Conference contribution

AN - SCOPUS:77951118945

SN - 978-1-4244-5179-1

SP - 396

EP - 399

BT - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

PB - Institute of Electrical and Electronics Engineers

T2 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009

Y2 - 13 December 2009 through 16 December 2009

ER -

Energy-efficient distributed spectrum sensing with convex optimization

Abstract

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this