Show simple item record

dc.contributor.authorBarolli, Admir
dc.contributor.authorOda, Tetsuya
dc.contributor.authorMatsuo, Keita
dc.contributor.authorCuka, Miralda
dc.contributor.authorBarolli, Leonard
dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-04-25T10:24:20Z
dc.date.available2018-02-06T01:30:36Z
dc.date.issued2017-02-04
dc.identifier.citationBarolli, A., Oda, T., Matsuo, K., Cuka, M., Barolli, L., Xhafa, F. A GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions. "Soft computing", 4 Febrer 2017, vol. 22, num. 5, p.2547-2555.
dc.identifier.issn1432-7643
dc.identifier.urihttp://hdl.handle.net/2117/103698
dc.description.abstractIn this paper, we compare the performance of Distributed Coordination Function (DCF) and Enhanced Distributed Channel Access (EDCA) for normal and uniform distributions of mesh clients considering two Wireless Mesh Network (WMN) architectures. As evaluation metrics, we consider throughput, delay, jitter and fairness index metrics. For simulations, we used WMN-GA simulation system, ns-3 and Optimized Link State Routing. The simulation results show that for normal distribution, the throughput of I/B WMN is higher than Hybrid WMN architecture. For uniform distribution, in case of I/B WMN, the throughput of EDCA is a little bit higher than Hybrid WMN. However, for Hybrid WMN, the throughput of DCF is higher than EDCA. For normal distribution, the delay and jitter of Hybrid WMN are lower compared with I/B WMN. For uniform distribution, the delay and jitter of both architectures are almost the same. However, in the case of DCF for 20 flows, the delay and jitter of I/B WMN are lower compared with Hybrid WMN. For I/B architecture, in case of normal distribution the fairness index of DCF is higher than EDCA. However, for Hybrid WMN, the fairness index of EDCA is higher than DCF. For uniform distribution, the fairness index of few flows is higher than others for both WMN architectures.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshWireless communication systems
dc.subject.lcshComputer algorithms
dc.subject.otherGenetic algorithms
dc.subject.otherWireless mesh networks
dc.subject.otherNs-3
dc.subject.otherNormal distribution
dc.subject.otherUniform distribution
dc.subject.otherDCF
dc.subject.otherEDCA
dc.titleA GA-based simulation system for WMNs: comparison analysis for different number of flows, client distributions, DCF and EDCA functions
dc.typeArticle
dc.subject.lemacComunicació sense fil, Sistemes de
dc.subject.lemacAlgorismes genètics
dc.identifier.doi10.1007/s00500-017-2508-8
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007/s00500-017-2508-8
dc.rights.accessOpen Access
local.identifier.drac19685353
dc.description.versionPostprint (author's final draft)
local.citation.authorBarolli, A.; Oda, T.; Matsuo, K.; Cuka, M.; Barolli, L.; Xhafa, F.
local.citation.publicationNameSoft computing
local.citation.volume22
local.citation.number8
local.citation.startingPage2547
local.citation.endingPage2555


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record