Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-24100-0_25
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dc.titleLeveraging channel diversity to gain efficiency and robustness for wireless broadcast
dc.contributor.authorDolev, S.
dc.contributor.authorGilbert, S.
dc.contributor.authorKhabbazian, M.
dc.contributor.authorNewport, C.
dc.date.accessioned2013-07-04T08:06:20Z
dc.date.available2013-07-04T08:06:20Z
dc.date.issued2011
dc.identifier.citationDolev, S.,Gilbert, S.,Khabbazian, M.,Newport, C. (2011). Leveraging channel diversity to gain efficiency and robustness for wireless broadcast. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6950 LNCS : 252-267. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-24100-0_25" target="_blank">https://doi.org/10.1007/978-3-642-24100-0_25</a>
dc.identifier.isbn9783642240997
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40525
dc.description.abstractThis paper addresses two primary questions: (i) How much faster can we disseminate information in a large wireless network if we have multiple communication channels available (as compared to relying on only a single communication channel)? (ii) Can we still disseminate information reliably, even if some subset of the channels are disrupted? In answer to the first question, we reduce the cost of broadcast to O(log log n) rounds/hop, approximately, for sufficiently many channels. We answer the second question in the affirmative, presenting two different algorithms, while at the same time proving a lower bound showing that disrupted channels have unavoidable costs. © 2011 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-24100-0_25
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-642-24100-0_25
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume6950 LNCS
dc.description.page252-267
dc.identifier.isiutNOT_IN_WOS
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