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: Contribution to conference › Paper › 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
DOIs	https://doi.org/10.1016/j.procs.2014.07.075
Publication status	Published - Aug 2014
Event	9th International Conference on Future Networks and Communications - Ontario, Canada Duration: 17 Aug 2014 → 20 Aug 2014

Conference

Conference	9th International Conference on Future Networks and Communications
Period	17/08/14 → 20/08/14

Bibliographical note

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

Organising Body: Elsevier

Keywords

Computer science and informatics

Access to Document

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 Conference contribution

Sensing optimization in cooperative cognitive radio networks
Pirmoradian, M., Adigun, O. & Politis, C., Aug 2014, Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier Organising Body: Elsevier. p. 577-582
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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",

author = "Mahdi Pirmoradian and Olayinka Adigun and Christos Politis",

note = "Note: Published in: Procedia Computer Science, Volume 34, 2014, Pages 577-582 Organising Body: Elsevier; 9th International Conference on Future Networks and Communications ; Conference date: 17-08-2014 Through 20-08-2014",

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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

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 - Paper

T2 - 9th International Conference on Future Networks and Communications

Y2 - 17 August 2014 through 20 August 2014

ER -

Sensing optimization in cooperative cognitive radio networks

Abstract

Conference

Bibliographical note

Keywords

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Research output

Sensing optimization in cooperative cognitive radio networks

Cite this