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

Anifantis, E; Karyotis, V; Papavassiliou, S

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