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Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks

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dc.contributor.author Anifantis, E en
dc.contributor.author Karyotis, V en
dc.contributor.author Papavassiliou, S en
dc.date.accessioned 2014-03-01T02:47:30Z
dc.date.available 2014-03-01T02:47:30Z
dc.date.issued 2011 en
dc.identifier.issn 15301346 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33181
dc.subject Cognitive Radio Networks (CRNs) en
dc.subject Cross-layer control mechanisms en
dc.subject Markov Decision Processes (MDP) en
dc.subject Spectrum variations en
dc.subject.other Analysis and simulation en
dc.subject.other Cognitive radio en
dc.subject.other Cognitive radio network en
dc.subject.other Control mechanism en
dc.subject.other Cross-layer en
dc.subject.other Cross-layer adaptation en
dc.subject.other Dynamic traffic en
dc.subject.other Feedback strategies en
dc.subject.other Least cost en
dc.subject.other Link channel en
dc.subject.other Link quality en
dc.subject.other Local adaptation en
dc.subject.other MAC layer en
dc.subject.other Markov Decision Processes en
dc.subject.other Markov theory en
dc.subject.other Optimal decisions en
dc.subject.other Optimal Feedback en
dc.subject.other Performance evaluation en
dc.subject.other Protocol layers en
dc.subject.other Protocol stack en
dc.subject.other Reaction mechanism en
dc.subject.other Secondary networks en
dc.subject.other Spectrum variations en
dc.subject.other Computer simulation en
dc.subject.other Cost benefit analysis en
dc.subject.other Decision theory en
dc.subject.other Flow rate en
dc.subject.other Learning algorithms en
dc.subject.other Markov processes en
dc.subject.other Network performance en
dc.subject.other Optimization en
dc.subject.other Radio en
dc.subject.other Wireless ad hoc networks en
dc.title Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISCC.2011.5983980 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISCC.2011.5983980 en
heal.identifier.secondary 5983980 en
heal.publicationDate 2011 en
heal.abstract Secondary ad hoc users of Cognitive Radio networks experience constant fluctuations of their link quality due to dynamic traffic behavior of their primary network counterparts. Several cognitive-aware MAC and routing protocols have been proposed in order to counterfeit properly such spectrum variations. In this paper, we introduce a vertical time-based control mechanism in the traditional protocol stack, aiming at properly balancing the inherent trade-off between instant local adaptations at MAC layer, against slower, but more globally aware rerouting reaction mechanisms. Based on localized and independent node decisions, an optimal feedback policy is proposed in order to exploit the most appropriate protocol layer in each case and provide per link channel assignments, such that flow rate requirements are satisfied with the least cost. We use Markov theory to examine the coexistence of primary and secondary networks, while the optimal decision policy is derived via a Markov Decision Process (MDP) and linear programming. Analysis and simulations are used for performance evaluation and together they confirm that the proposed time-based cross-layer feedback strategy contributes to higher network performance regarding flow rate requirements, sensing and rerouting costs. © 2011 IEEE. en
heal.journalName Proceedings - IEEE Symposium on Computers and Communications en
dc.identifier.doi 10.1109/ISCC.2011.5983980 en
dc.identifier.spage 1044 en
dc.identifier.epage 1049 en


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