Cognitive radio policy-based adaptive blind rendezvous protocols for disaster response

Simple item page
dc.contributor.authorGhafoor, Saim
dc.contributor.authorSreenan, Cormac J.
dc.contributor.authorBrown, Kenneth N.
dc.date.accessioned2022-04-01T14:52:29Z
dc.date.available2022-04-01T14:52:29Z
dc.date.issued2018-02-17
dc.date.updated2022-04-01T11:22:51Z
dc.description.abstractIn disaster scenarios, with damaged network infrastructure, cognitive radio (CR) can be used to provide temporary network access in the first few hours. Since spectrum occupancy will be unknown, the radios must rely on spectrum sensing and opportunistic access. An initial goal is to establish rendezvous between CR nodes to set up the network. The unknown primary radio (PR) activity and CR node topology makes this a challenging task. Existing blind rendezvous strategies provide guarantees on time to rendezvous, but assume channels with no PR activity and no external interferers. To handle this problem of blind multi-node rendezvous in the presence of primary users, we propose an Extended Modular Clock Algorithm which abandons the guarantee on time to rendezvous, an information exchange mechanism for the multi-node problem, and various cognitive radio operating policies. We show that the adapted protocols can achieve up to 80% improvement in the expected time to rendezvous and reduce the harmful interference caused to the primary radio.en
dc.description.sponsorshipScience Foundation Ireland (SFI under the CTVR (SFI 10/CE/I1853), CONNECT (13/RC/2077) and INSIGHT (SFI/12/RC/2289) grants)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGhafoor, S., Sreenan, C.J., Brown, K.N. (2018) ‘Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response’, In: Marques, P., Radwan, A., Mumtaz, S., Noguet, D., Rodriguez, J. and Gundlach, M. (eds) Cognitive Radio Oriented Wireless Networks, CrownCom 2017, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228, pp. 88-99. doi: 10.1007/978-3-319-76207-4_8en
dc.identifier.doi10.1007/978-3-319-76207-4_8en
dc.identifier.endpage99en
dc.identifier.isbn978-3-319-76206-7
dc.identifier.isbn978-3-319-76206-7
dc.identifier.startpage88en
dc.identifier.urihttps://hdl.handle.net/10468/13030
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228
dc.relation.ispartofInternational Conference on Cognitive Radio Oriented Wireless Networks CrownCom 2017: Cognitive Radio Oriented Wireless Networks
dc.rights© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-76207-4_8en
dc.rights.urihttps://www.springernature.com/gp/open-research/policies/accepted-manuscript-termsen
dc.subjectAdaptive radioen
dc.subjectBlind rendezvousen
dc.subjectCognitive radio networken
dc.subjectCognitive radio operating policyen
dc.subjectDisaster response networken
dc.subjectPrimary radio activityen
dc.titleCognitive radio policy-based adaptive blind rendezvous protocols for disaster responseen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Saim_WCM-14-00121_R2_Camera_ready.pdf
Size:
268.21 KB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Computer Science - Conference Items
Insight Centre for Data Analytics - Conference Items