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dc.contributor.authorOda, Tetsuya
dc.contributor.authorBarolli, Admir
dc.contributor.authorSpaho, Evjola
dc.contributor.authorBarolli, Leonard
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorYounas, Muhammad
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2019-02-18T10:11:38Z
dc.date.available2019-02-18T10:11:38Z
dc.date.issued2014-02
dc.identifier.citationOda, T. [et al.]. Effects of population size for location-aware node placement in WMNs: evaluation by a genetic algorithm--based approach. "Personal and ubiquitous computing", Febrer 2014, vol. 18, núm. 2, p. 261-269.
dc.identifier.issn1617-4909
dc.identifier.urihttp://hdl.handle.net/2117/129279
dc.description.abstractWireless mesh networks (WMNs) are cost-efficient networks that have the potential to serve as an infrastructure for advanced location-based services. Location service is a desired feature for WMNs to support location-oriented applications. WMNs are also interesting infrastructures for supporting ubiquitous multimedia Internet access for mobile or fixed mesh clients. In order to efficiently support such services and offering QoS, the optimized placement of mesh router nodes is very important. Indeed, such optimized mesh placement can support location service managed in the mesh and keep the rate of location updates low...
dc.format.extent9 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.lcshRouting (Computer network management)
dc.subject.lcshQuality of service (Computer networks)
dc.subject.otherPopulation statistics
dc.subject.otherGenetic algorithms
dc.subject.otherHeuristic methods
dc.subject.otherLocation based services
dc.subject.otherMESH networking
dc.subject.otherOptimization
dc.subject.otherRouters
dc.subject.otherWeibull distribution
dc.titleEffects of population size for location-aware node placement in WMNs: evaluation by a genetic algorithm--based approach
dc.typeArticle
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1007/s00779-013-0643-5
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007/s00779-013-0643-5
dc.rights.accessOpen Access
local.identifier.drac12434919
dc.description.versionPostprint (author's final draft)
local.citation.authorOda, T.; Barolli, A.; Spaho, E.; Barolli, L.; Xhafa, F.; Younas, M.
local.citation.publicationNamePersonal and ubiquitous computing
local.citation.volume18
local.citation.number2
local.citation.startingPage261
local.citation.endingPage269


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