Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-35476-2_13
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dc.titleOptimal broadcast in shared spectrum radio networks
dc.contributor.authorGhaffari, M.
dc.contributor.authorGilbert, S.
dc.contributor.authorNewport, C.
dc.contributor.authorTan, H.
dc.date.accessioned2013-07-04T08:06:17Z
dc.date.available2013-07-04T08:06:17Z
dc.date.issued2012
dc.identifier.citationGhaffari, M.,Gilbert, S.,Newport, C.,Tan, H. (2012). Optimal broadcast in shared spectrum radio networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7702 LNCS : 181-195. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-35476-2_13" target="_blank">https://doi.org/10.1007/978-3-642-35476-2_13</a>
dc.identifier.isbn9783642354755
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40523
dc.description.abstractThis paper studies single hop broadcast in a single hop shared spectrum radio network. The problem requires a source to deliver a message to n receivers, where only a polynomial upper bound on n is known. The model assumes that in each round, each device can participate on 1 out of C ≥ available communication channels, up to t &lt; C of which might be disrupted, preventing communication. This disruption captures the unpredictable message loss that plagues real shared spectrum networks. The best existing solution to the problem, which comes from the systems literature, requires O (Ct/C-t log n) rounds. Our algorithm, by contrast, solves the problem in O(C/C-t⌈t/ n⌉ log n) rounds, when C ≥ log n, and in O(C/C-t log n · log log n) rounds, when C is smaller. It accomplishes this improvement by deploying a self-regulating relay strategy in which receivers that already know useful information coordinate themselves to efficiently assist the source's broadcast. We conclude by proving these bounds tight for most cases. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-35476-2_13
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-35476-2_13
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume7702 LNCS
dc.description.page181-195
dc.identifier.isiutNOT_IN_WOS
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