Publication:
Ad-Hoc network design with multiple metrics using Taguchi's loss function

dc.Conferencecode86894
dc.Conferencedate17 July 2011 through 19 July 2011
dc.ConferencelocationBandung
dc.Conferencename2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
dc.citedby4
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Teknologi MARA (UiTM)
dc.contributor.authorMohamed H.en_US
dc.contributor.authorLee M.H.en_US
dc.contributor.authorSalleh S.en_US
dc.contributor.authorSanugi B.en_US
dc.contributor.authorSarahintu M.en_US
dc.date.accessioned2024-05-28T08:39:45Z
dc.date.available2024-05-28T08:39:45Z
dc.date.issued2011
dc.description.abstractThis paper presents an approach for tackling multiple metrics and various network parameters simultaneously to investigate the performance of wireless ad-hoc network routing protocols. The study uses Taguchi's loss function to determine the best condition in yielding maximum throughput and minimum packet drop and routing overhead simultaneously for dynamic source routing (DSR) protocol. Studying the parameters one at a time or by trial and error until a first feasible design is found seems to be a common approach to design optimization. In this paper, the impact of ad-hoc network parameters such as terrain, network size, number of sources, packet transmitted rates, node speed and pause time on a multiple signal to noise ratio are investigated simultaneously. We present results based on simulation study according to Taguchi experimental design technique. Optimum levels of ad-hoc network parameters are suggested by using response table and response graph while contribution of significant parameter are estimated using analysis of variance (ANOVA). The results show that the terrain size, number of sources, transmission packet rates and nodes speed are the significant parameters affecting DSR performance in wireless ad-hoc networks. � 2011 IEEE.
dc.description.natureFinalen_US
dc.description.sponsorshipIEEE Indonesia Section
dc.description.sponsorshipIEEE Eng. Med. Biol. Soc. - Indonesia Chapter
dc.description.sponsorshipIEEE Circuit and Systems Society - Indonesia Chapter
dc.description.sponsorshipIEEE Electron Devices, Educ., Signal Process.,
dc.description.sponsorshipPower Energy Syst. Soc. - Indonesia Jt. Chapter
dc.identifier.ArtNo6021659
dc.identifier.doi10.1109/ICEEI.2011.6021659
dc.identifier.isbn9781460000000
dc.identifier.scopus2-s2.0-80054048503
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-80054048503&doi=10.1109%2fICEEI.2011.6021659&partnerID=40&md5=7b0a9f4aebc05782bb58604798e47e41
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9248
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
dc.sourceScopus
dc.subjectAd-hoc networken_US
dc.subjectANOVAen_US
dc.subjectmultiple metricsen_US
dc.subjectTaguchi's loss functionen_US
dc.subjectDesign optimizationen_US
dc.subjectDynamic Source Routing protocolsen_US
dc.subjectFeasible designen_US
dc.subjectMaximum through-puten_US
dc.subjectmultiple metricsen_US
dc.subjectNetwork parametersen_US
dc.subjectNetwork sizeen_US
dc.subjectPacket dropsen_US
dc.subjectPacket rateen_US
dc.subjectResponse graphsen_US
dc.subjectResponse tableen_US
dc.subjectRouting overheadsen_US
dc.subjectSimulation studiesen_US
dc.subjectTaguchi experimental designen_US
dc.subjectTaguchi's loss functionen_US
dc.subjectTrial and erroren_US
dc.titleAd-Hoc network design with multiple metrics using Taguchi's loss function
dc.typeConference Paperen_US
dspace.entity.typePublication

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