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Optimising message broadcasting in opportunistic networks

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Optimising message broadcasting in opportunistic networks

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dc.contributor.author Chancay-García, Leonardo es_ES
dc.contributor.author Hernández-Orallo, Enrique es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.contributor.author Vegni, Anna Maria es_ES
dc.contributor.author Loscrí, Valeria es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.date.accessioned 2021-03-09T04:32:24Z
dc.date.available 2021-03-09T04:32:24Z
dc.date.issued 2020-05-01 es_ES
dc.identifier.issn 0140-3664 es_ES
dc.identifier.uri http://hdl.handle.net/10251/163484
dc.description.abstract [EN] Message Broadcasting in Opportunistic Networks is based on the opportunity of establishing contacts among mobiles nodes for message exchange. Nevertheless, as the amount of information transmitted in a contact is limited by the transmission speed and the contact duration, large messages are less likely to be exchanged, and thus their diffusion is severely limited. Furthermore, these failed transmissions can also lead to an important waste of network resources, since the message transmission is aborted when the contact ends and the message needs to be transmitted again in the next contact. Therefore, in this paper we study the impact that contact duration has on the broadcast of messages, showing that splitting a large message into smaller parts can improve its diffusion. Based on this idea, we propose an extension of the epidemic protocol called Xpread. The efficiency of this protocol mainly depends on how the original message is partitioned. Thus, in order to evaluate the impact and the efficiency of the partition scheme, we have developed an analytical model based on Population Processes, showing that a fixed size partition is the best option, while also providing a simple expression to obtain the optimal size. The Xpread has been evaluated exhaustively using four different mobiles traces, comprising both pedestrian and vehicular scenarios. The results show that the diffusion of large messages is improved up to four times with a slight reduction in the delivery time and overhead, minimising also message forwarding failures. es_ES
dc.description.sponsorship This work was partially supported by the Ministerio de Ciencia, Innovacion y Universidades, Spain, under Grant RTI2018-096384-B-I00; and the Secretaria Nacional de Educacion Superior, Ciencia, Tecnologia e Innovacion del Ecuador (SENESCYT), Ecuador. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computer Communications es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Opportunistic networks es_ES
dc.subject Epidemic diffusion es_ES
dc.subject Population processes es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Optimising message broadcasting in opportunistic networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.comcom.2020.04.031 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Chancay-García, L.; Hernández-Orallo, E.; Manzoni, P.; Vegni, AM.; Loscrí, V.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM. (2020). Optimising message broadcasting in opportunistic networks. Computer Communications. 157:162-178. https://doi.org/10.1016/j.comcom.2020.04.031 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.comcom.2020.04.031 es_ES
dc.description.upvformatpinicio 162 es_ES
dc.description.upvformatpfin 178 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 157 es_ES
dc.relation.pasarela S\408305 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador es_ES
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