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Energy-efficient contention-aware channel selection in Cognitive Radio Ad-Hoc Networks
Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain.
Open Univ Catalonia UOC, Barcelona, Spain.
Tech Univ Catalonia UPC, Signal Theory & Communicat Dept, Castelldefels, Spain.
Telecommun Technol Ctr Catalonia CTTC, Castelldefels, Spain.
2012 (English)In: 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), IEEE Press, 2012, 46-50 p.Conference paper (Refereed)
Abstract [en]

n this paper, we propose a novel contention-aware channel selection algorithm that focuses on throughput and energy efficiency improvement in Cognitive Radio Ad-Hoc Networks (CRAHNs). Specifically, we study the operation and performance of a Secondary Network (SN) in a scenario where other non-cooperating CRAHNs are also using the primary resources. We prove that a channel categorization of the idle channels based on their contention level and the selection of the less contented ones can result in up to 70% improvement in throughput and up to 68% improvement in energy efficiency. Simulation results are presented for the performance evaluation of our proposed algorithm.

Place, publisher, year, edition, pages
IEEE Press, 2012. 46-50 p.
Keyword [en]
ad hoc networks, cognitive radio, performance evaluation, wireless channels, CRAHN, channel categorization, cognitive radio ad-hoc networks, energy efficiency improvement, energy-efficient contention-aware channel selection, idle channels, primary resources, secondary network, Accuracy, Channel estimation, Feature extraction, Sensors, Throughput, Tin, CSMA/CA, Cooperative Spectrum Sensing, Green Communications
National Category
Telecommunications
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-45493DOI: 10.1109/CAMAD.2012.6335376ISBN: 978-1-4673-3123-4OAI: oai:DiVA.org:kau-45493DiVA: diva2:956483
Conference
2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 17-19 Sept. 2012
Available from: 2016-08-30 Created: 2016-08-30 Last updated: 2016-10-15Bibliographically approved

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