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dc.contributor.authorSakamoto, Shinji
dc.contributor.authorLala, Algenti
dc.contributor.authorOda, Tetsuya
dc.contributor.authorKolici, Vladi
dc.contributor.authorBarolli, Leonard
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-05-05T16:14:48Z
dc.date.available2016-05-05T16:14:48Z
dc.date.issued2015
dc.identifier.citationSakamoto, S., Lala, A., Oda, T., Kolici, V., Barolli, L., Xhafa, F. Analysis of WMN-HC simulation system data using Friedman test. A: International Conference on Complex, Intelligent, and Software Intensive Systems. "2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015, 8-10 July 2015, Blumenau, Santa Catarina, Brazil: proceedings". Blumenau: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 254-259.
dc.identifier.isbn978-1-4799-8870-9
dc.identifier.urihttp://hdl.handle.net/2117/86660
dc.description(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractWith the fast development of wireless technologies, Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure due to their low cost and increased high speed wireless Internet connectivity. In this paper, we used our proposed and implemented system based on Hill Climbing algorithm, called WMN-HC for mesh router node placement in WMNs. We analyze WMN-HC simulation system data for different number of nodes using Friedman test. We took into consideration 8, 16, 32, 64, 128 mesh routers and 24, 48, 96, 192, 384 mesh clients. We use Size of Giant Component (SGC) and Number of Covered Mesh Clients (NCMC) as metrics. From the analysis, for all cases, the p-value of SGC is more than 0.05. Thus, we adopt H0. On the other hand, for NCMC, we adopt H1 because the p-value is less than 0.05. Friedman test results show that there is not difference for SGC parameter. However, there is difference for NCMC parameter.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Seguretat informàtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Xarxes de banda ampla
dc.subject.lcshWireless communication systems
dc.subject.lcshBroadband communication systems
dc.subject.lcshMathematical optimization
dc.subject.otherconnectivity
dc.subject.othercoverage
dc.subject.otherFriedman test
dc.subject.otherhill climbing
dc.subject.othernode placement
dc.subject.otherWireless Mesh Networks
dc.titleAnalysis of WMN-HC simulation system data using Friedman test
dc.typeConference report
dc.subject.lemacComunicació sense fil, Sistemes de
dc.subject.lemacTelecomunicació de banda ampla, Sistemes de
dc.subject.lemacOptimització matemàtica
dc.identifier.doi10.1109/CISIS.2015.39
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7185195
dc.rights.accessOpen Access
drac.iddocument17550002
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorSakamoto, S., Lala, A., Oda, T., Kolici, V., Barolli, L., Xhafa, F.
upcommons.citation.contributorInternational Conference on Complex, Intelligent, and Software Intensive Systems
upcommons.citation.pubplaceBlumenau
upcommons.citation.publishedtrue
upcommons.citation.publicationName2015 9th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2015, 8-10 July 2015, Blumenau, Santa Catarina, Brazil: proceedings
upcommons.citation.startingPage254
upcommons.citation.endingPage259


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