Show simple item record

dc.contributor.authorMillán, Pere
dc.contributor.authorMolina Clemente, Carlos Maria
dc.contributor.authorMedina Medina, Esunly
dc.contributor.authorVega d'Aurelio, Davide
dc.contributor.authorMeseguer Pallarès, Roc
dc.contributor.authorBraem, Bart
dc.contributor.authorBlondia, Chris
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-12-02T13:10:37Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationMillán, P. [et al.]. Tracking and predicting link quality in wireless community networks. A: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. "2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) took place 8-10 October 2014 in Larnaca, Cyprus". Larnaca: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 239-244.
dc.identifier.isbn978-1-4799-5041-6
dc.identifier.urihttp://hdl.handle.net/2117/24901
dc.description.abstractCommunity networks have emerged under the mottos of “break the strings that are limiting you”, “don't buy the network, be the network” or “a free net for everyone is possible”. Such networks create a measurable social impact as they provide to the community the right and opportunity of communication. As any other network that mixes wired and wireless links, the routing protocol must face several challenges that arise from the unreliable nature of the wireless medium. Link quality tracking helps the routing layer to select links that maximize the delivery rate and minimize traffic congestion. Moreover, link quality prediction has proved to be a technique that surpasses link quality tracking by foreseeing which links are more likely to change its quality. In this work, we focus on link quality prediction by means of a time series analysis. We apply this prediction technique in the routing layer of large-scale, distributed and decentralized networks. We demonstrate that this type of prediction achieves about a success probability of about 98% in both the short and long term.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Sèries temporals
dc.subject.lcshWireless communication systems
dc.subject.lcshTime-series analysis
dc.subject.otherCommunity networks
dc.subject.otherLink quality prediction
dc.subject.otherLink quality tracking
dc.subject.otherTime series analysis
dc.titleTracking and predicting link quality in wireless community networks
dc.typeConference report
dc.subject.lemacComunicació sense fil, Sistemes de
dc.subject.lemacSèries temporals -- Anàlisi
dc.contributor.groupUniversitat Politècnica de Catalunya. CNDS - Xarxes de Computadors i Sistemes Distribuïts
dc.identifier.doi10.1109/WiMOB.2014.6962177
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6962177
dc.rights.accessRestricted access - publisher's policy
drac.iddocument15292131
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/288535/EU/Community Networks Testbed for the Future Internet/CONFINE
dc.date.lift10000-01-01
upcommons.citation.authorMillán, P.; Molina, C.; Medina, E.; Vega, D.; Meseguer, R.; Braem, B.; Blondia, C.
upcommons.citation.contributorIEEE International Conference on Wireless and Mobile Computing, Networking and Communications
upcommons.citation.pubplaceLarnaca
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) took place 8-10 October 2014 in Larnaca, Cyprus
upcommons.citation.startingPage239
upcommons.citation.endingPage244


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain