2.50
Hdl Handle:
http://hdl.handle.net/10547/270779
Title:
An analysis on decentralized adaptive MAC protocols for Cognitive Radio networks
Authors:
Shah, Munam Ali ( 0000-0002-4037-3405 ) ; Zhang, Sijing; Maple, Carsten
Abstract:
The scarcity of bandwidth in the radio spectrum has become more vital since the demand for more and more wireless applications has increased. Most of the spectrum bands have been allocated although many studies have shown that these bands are significantly underutilized most of the time. The problem of unavailability of spectrum and inefficiency in its utilization has been smartly addressed by the Cognitive Radio (CR) Technology which is an opportunistic network that senses the environment, observes the network changes, and then using knowledge gained from the prior interaction with the network, makes intelligent decisions by dynamically adapting their transmission characteristics. In this paper some of the decentralized adaptive MAC protocols for CR networks have been critically analyzed and a novel adaptive MAC protocol for CR networks, DNG-MAC which is decentralized and non-global in nature, has been proposed. The results show the DNG-MAC out performs other CR MAC protocols in terms of time and energy efficiency.
Affiliation:
University of Bedfordshire, UK
Citation:
Shah, M., Zhang, S. and Maple, C. (2012) "An analysis on decentralized adaptive MAC protocols for Cognitive Radio networks," Automation and Computing (ICAC), 2012 18th International Conference on , pp.1-5, 7-8 Sept. 2012
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2012
URI:
http://hdl.handle.net/10547/270779
DOI:
10.1007/s11633-013-0695-z
Additional Links:
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6330514
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
9781467317221
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorShah, Munam Alien_GB
dc.contributor.authorZhang, Sijingen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.date.accessioned2013-03-01T10:40:59Z-
dc.date.available2013-03-01T10:40:59Z-
dc.date.issued2012-
dc.identifier.citationShah, M., Zhang, S. and Maple, C. (2012) "An analysis on decentralized adaptive MAC protocols for Cognitive Radio networks," Automation and Computing (ICAC), 2012 18th International Conference on , pp.1-5, 7-8 Sept. 2012en_GB
dc.identifier.isbn9781467317221-
dc.identifier.doi10.1007/s11633-013-0695-z-
dc.identifier.urihttp://hdl.handle.net/10547/270779-
dc.description.abstractThe scarcity of bandwidth in the radio spectrum has become more vital since the demand for more and more wireless applications has increased. Most of the spectrum bands have been allocated although many studies have shown that these bands are significantly underutilized most of the time. The problem of unavailability of spectrum and inefficiency in its utilization has been smartly addressed by the Cognitive Radio (CR) Technology which is an opportunistic network that senses the environment, observes the network changes, and then using knowledge gained from the prior interaction with the network, makes intelligent decisions by dynamically adapting their transmission characteristics. In this paper some of the decentralized adaptive MAC protocols for CR networks have been critically analyzed and a novel adaptive MAC protocol for CR networks, DNG-MAC which is decentralized and non-global in nature, has been proposed. The results show the DNG-MAC out performs other CR MAC protocols in terms of time and energy efficiency.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6330514en_GB
dc.subjectcognitive radioen_GB
dc.subjectcommon control channelen_GB
dc.subjectco-operative communicationen_GB
dc.subjectMAC protocolsen_GB
dc.titleAn analysis on decentralized adaptive MAC protocols for Cognitive Radio networksen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshire, UKen_GB
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