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dc.contributor.authorYi, Chih-Weien_US
dc.date.accessioned2014-12-08T15:09:27Z-
dc.date.available2014-12-08T15:09:27Z-
dc.date.issued2009-05-17en_US
dc.identifier.issn0304-3975en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.tcs.2009.02.027en_US
dc.identifier.urihttp://hdl.handle.net/11536/7226-
dc.description.abstractIn wireless networks, to avoid collisions of simultaneous transmissions over the same channel, adjacent nodes are assigned distinct channels, and the least number of channels used in all assignment is called the chromatic number. The determination of the chromatic number is NP-hard. In this paper, we introduce all analytic tool called maximum scan statistics. For a finite point set V and a convex compact set C, the maximum scan statistic of V with respect to the scanning set C is the largest number of points ill V covered by a copy C. Based on the Study of asymptotic maximum scan statistics, we obtain the asymptotics of the maximum degree and the clique number of homogeneous wireless networks. The results imply that the chromatic number is almost surely at most four times the clique number. We further prove that the approximation ratios of some vertex-ordering-based First-Fit channel assignment algorithms are almost surely bounded by 2. Ill the analysis, we also learn that the chromatic number is almost surely at most twice the clique number. (C) 2009 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectWireless ad hoc networksen_US
dc.subjectMaximum scan statisticsen_US
dc.subjectChannel assignmenten_US
dc.subjectChromatic numbersen_US
dc.subjectClique numbersen_US
dc.subjectInductivitiesen_US
dc.titleMaximum scan statistics and channel assignment problems in homogeneous wireless networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.tcs.2009.02.027en_US
dc.identifier.journalTHEORETICAL COMPUTER SCIENCEen_US
dc.citation.volume410en_US
dc.citation.issue21-23en_US
dc.citation.spage2223en_US
dc.citation.epage2233en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000266178200026-
dc.citation.woscount0-
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