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Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing

Aquino, Guilherme Pedro; Guimarães, Dayan Adionel; Cattaneo, Marco E.G.V.

Authors

Guilherme Pedro Aquino

Dayan Adionel Guimarães

Marco E.G.V. Cattaneo



Abstract

A common concern regarding cooperative spectrum sensing (CSS) schemes is the occupied bandwidth and the energy consumption during the transmissions of sensing information to the fusion center over the reporting control channels. This concern is intensified if the number of cooperating secondary users in the network is large. This article presents a new fusion strategy for a CSS scheme, aiming at increasing the energy efficiency of a recently proposed bandwidth-efficient fusion scheme. Analytical results and computational simulations unveil a high increase in energy efficiency when compared with the original approach, yet achieving better performances in some situations, and lower implementation complexity.

Citation

Aquino, G. P., GuimarĂ£es, D. A., & Cattaneo, M. E. (2016). Energy efficient scheme based on simultaneous transmission of the local decisions in cooperative spectrum sensing. KSII transactions on internet and information systems, 10(3), 996-1015. https://doi.org/10.3837/tiis.2016.03.003

Journal Article Type Article
Acceptance Date Jan 1, 2016
Online Publication Date Mar 31, 2016
Publication Date Mar 31, 2016
Deposit Date Mar 23, 2016
Publicly Available Date Mar 31, 2016
Journal KSII transactions on internet and information systems
Electronic ISSN 1976-7277
Peer Reviewed Peer Reviewed
Volume 10
Issue 3
Pages 996-1015
DOI https://doi.org/10.3837/tiis.2016.03.003
Keywords Cognitive radio, Cooperative spectrum sensing, Fusion of sensor information, Energy efficiency
Public URL https://hull-repository.worktribe.com/output/434013
Publisher URL http://www.itiis.org/digital-library/manuscript/1269
Additional Information This is a description of an article which has been published in: KSII transactions on internet and information systems, 2016, v.10, issue 3

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©2017 University of Hull





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