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.

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., Guimarães, 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
• Contract Date: Mar 23, 2016