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A probabilistic VDTN routing scheme based on hybrid swarm-based approach

2020Journal article Open access
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dc.contributor.authorAzzoug, Youcef
dc.contributor.authorBoukra, Abdelmadjid
dc.contributor.authorSoares, V.N.G.J.
dc.date.accessioned2020-11-09T13:39:48Z
dc.date.available2020-11-09T13:39:48Z
dc.date.issued2020
dc.description.abstractThe probabilistic Delay Tolerant Network (DTN) routing has been adjusted for vehicular network (VANET) routing through numerous works exploiting the historic routing profile of nodes to forward bundles through better Store-Carry-and-Forward (SCF) relay nodes. In this paper, we propose a new hybrid swarm-inspired probabilistic Vehicular DTN (VDTN) router to optimize the next-SCF vehicle selection using the combination of two bio-metaheuristic techniques called the Firefly Algorithm (FA) and the Glowworm Swarm Optimization (GSO). The FA-based strategy exploits the stochastic intelligence of fireflies in moving toward better individuals, while the GSO-based strategy mimics the movement of glowworm towards better area for displacing and food foraging. Both FA and GSO are executed simultaneously on each node to track better SCF vehicles towards each bundle’s destination. A geography-based recovery method is performed in case no better SCF vehicles are found using the hybrid FA–GSO approach. The proposed FA–GSO VDTN scheme is compared to ProPHET and GeoSpray routers. The simulation results indicated optimized bundles flooding levels and higher profitability of combined delivery delay and delivery probability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAZZOUG, Youcef ; BOUKRA, Abdelmadjid ; SOARES, V.N.G.J. (2020) - A probabilistic VDTN routing scheme based on hybrid swarm-based approach. Future Internet. ISSN 1999-5903. Vol. 12, nº 11. Doi: 10.3390/fi12110192pt_PT
dc.identifier.doi10.3390/fi12110192pt_PT
dc.identifier.issn1999-5903
dc.identifier.urihttp://hdl.handle.net/10400.11/7302
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1999-5903/12/11/192pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVDTNspt_PT
dc.subjectProbabilistic DTN routingpt_PT
dc.subjectNext-SCF vehicle selectionpt_PT
dc.subjectProPHETpt_PT
dc.subjectGlowworm swarm optimizationpt_PT
dc.subjectFirefly algorithmpt_PT
dc.subjectSwarm-based approachespt_PT
dc.titleA probabilistic VDTN routing scheme based on hybrid swarm-based approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleFuture Internetpt_PT
oaire.citation.volume12(11)pt_PT
person.identifiera4GD8aoAAAAJ
person.identifier.ciencia-id5B19-E130-E382
person.identifier.orcid0000-0002-8057-5474
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa17d4ff5-1ff3-4dcc-b180-319e7ff3961d
relation.isAuthorOfPublication.latestForDiscoverya17d4ff5-1ff3-4dcc-b180-319e7ff3961d

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