Sensing optimization in cooperative cognitive radio networks

Mahdi Pirmoradian; Olayinka Adigun; Christos Politis

doi:10.1016/j.procs.2014.07.075

Sensing optimization in cooperative cognitive radio networks

Mahdi Pirmoradian, Olayinka Adigun, Christos Politis

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

Abstract

Cooperative spectrum sensing is a key function in cognitive radio networks in order to provide unused spectrum access opportunities and mitigate the impact of interference to the primary networks. Cooperative sensing can incur additional cooperation overhead, increased energy consumption, extra sensing time and delay in heterogeneous networks. In this paper, the sensing time period is optimized to minimize energy consumption in a diverse cooperative network using square law combining decision rule. The evaluation results confirm significant improvement in the sensing time and sensing task energy consumption.

Original language	English
Title of host publication	Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier Organising Body: Elsevier
Pages	577-582
DOIs	https://doi.org/10.1016/j.procs.2014.07.075
Publication status	Published - Aug 2014

Bibliographical note

Note: Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582

Organising Body: Elsevier

Organising Body: Elsevier

Keywords

Computer science and informatics

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10.1016/j.procs.2014.07.075

Pirmoradian-M-28587Final published version, 460 KBLicence: CC BY-NC-ND

http://dx.doi.org/10.1016/j.procs.2014.07.075

1 Paper

Sensing optimization in cooperative cognitive radio networks
Pirmoradian, M., Adigun, O. & Politis, C., Aug 2014.
Research output: Contribution to conference › Paper › peer-review

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title = "Sensing optimization in cooperative cognitive radio networks",

abstract = "Cooperative spectrum sensing is a key function in cognitive radio networks in order to provide unused spectrum access opportunities and mitigate the impact of interference to the primary networks. Cooperative sensing can incur additional cooperation overhead, increased energy consumption, extra sensing time and delay in heterogeneous networks. In this paper, the sensing time period is optimized to minimize energy consumption in a diverse cooperative network using square law combining decision rule. The evaluation results confirm significant improvement in the sensing time and sensing task energy consumption.",

keywords = "Computer science and informatics",

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doi = "10.1016/j.procs.2014.07.075",

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Sensing optimization in cooperative cognitive radio networks. / Pirmoradian, Mahdi; Adigun, Olayinka; Politis, Christos.
Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier Organising Body: Elsevier. 2014. p. 577-582.

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

TY - GEN

T1 - Sensing optimization in cooperative cognitive radio networks

AU - Pirmoradian, Mahdi

AU - Adigun, Olayinka

AU - Politis, Christos

N1 - Note: Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier Organising Body: Elsevier

PY - 2014/8

Y1 - 2014/8

N2 - Cooperative spectrum sensing is a key function in cognitive radio networks in order to provide unused spectrum access opportunities and mitigate the impact of interference to the primary networks. Cooperative sensing can incur additional cooperation overhead, increased energy consumption, extra sensing time and delay in heterogeneous networks. In this paper, the sensing time period is optimized to minimize energy consumption in a diverse cooperative network using square law combining decision rule. The evaluation results confirm significant improvement in the sensing time and sensing task energy consumption.

AB - Cooperative spectrum sensing is a key function in cognitive radio networks in order to provide unused spectrum access opportunities and mitigate the impact of interference to the primary networks. Cooperative sensing can incur additional cooperation overhead, increased energy consumption, extra sensing time and delay in heterogeneous networks. In this paper, the sensing time period is optimized to minimize energy consumption in a diverse cooperative network using square law combining decision rule. The evaluation results confirm significant improvement in the sensing time and sensing task energy consumption.

KW - Computer science and informatics

U2 - 10.1016/j.procs.2014.07.075

DO - 10.1016/j.procs.2014.07.075

M3 - Conference contribution

SP - 577

EP - 582

BT - Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier Organising Body: Elsevier

ER -

Sensing optimization in cooperative cognitive radio networks

Abstract

Bibliographical note

Keywords

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Sensing optimization in cooperative cognitive radio networks

Cite this