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dc.contributor.authorBedón Monzón, Héctor Manuel
dc.contributor.authorLopez Pastor, Jaime
dc.contributor.authorCedeño Herrera, Edwin
dc.contributor.authorNieto, C.M.
dc.contributor.otherBedón Monzón, Héctor Manueles_PE
dc.contributor.otherLopez Pastor, Jaimees_PE
dc.contributor.otherCedeño Herrera, Edwines_PE
dc.date.accessioned2021-06-23T17:56:45Z
dc.date.available2021-06-23T17:56:45Z
dc.date.issued2021
dc.identifier.citationBedón, H., Lopez Pastor, J., Cedeño Herrera, E. & Nieto, C.M. (2021). Marine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheries. In: Botto-Tobar M., Montes León S., Camacho O., Chávez D., Torres-Carrión P., Zambrano Vizuete M. (eds.) Applied Technologies: Second International Conference, ICAT 2020, Quito, Ecuador, December 2–4, 2020, Proceedings, Communications in Computer and Information Science (vol. 1388, pp. 3-17). Springer. https://doi.org/10.1007/978-3-030-71503-8_1es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/13427
dc.descriptionIndexado en Scopuses_PE
dc.description.abstractThe artisanal fishing activity carried out on the coasts where the production of fish can be exploited is affected by a lack of communication between the vessels in order to provide relevant information related to multiple marine sensor parameters. It is mainly due to the rugged geographic area that causes highly disruptive communication links and in which traditional IP-based communications with transport protocols such as TCP or UDP do not work properly. This paper presents and evaluates a new communications architecture to provide services to marine sensor networks using a disruption tolerant networking (DTN) based solution. We propose a new architecture that takes into account the different vessels densities. We assume a finite sensor population model and a saturated traffic condition where every sensor always has frames to transmit. The performance was evaluated in terms of delivery probabilities, delay and a DTN scenario indicator (DSI) proposed. Through simulations, this paper reveals that Low Density scenery yield greater latency, and more density of nodes has better results. We achieved a successful delivery rate of 74% and a latency of 2 h approximately. Finally indicators shows that high density of nodes is strongly recommended for fishery scenery models.en_EN
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherSpringeres_PE
dc.relation.ispartofurn:issn:1865-0929
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectPescaes_PE
dc.subjectTelecomunicaciones
dc.subjectFishing
dc.subjectCommunication and information technologies
dc.subjectTelecommunications
dc.subjectTecnologías de comunicación e información
dc.subject.classificationIngeniería de sistemas / Sistemas de informaciónes_PE
dc.titleMarine Delay and Disruption Tolerant Networks (MaDTN): Application for Artisanal Fisheriesen_EN
dc.typeinfo:eu-repo/semantics/conferenceObjectes_PE
dc.type.otherArtículo de conferencia en Scopuses_PE
ulima.areas.lineasdeinvestigacionRecursos naturales y medio ambiente / Productos de la biodiversidades_PE
dc.identifier.journalCommunications in Computer and Information Science
dc.publisher.countryCHes_PE
dc.description.peer-reviewRevisión por pareses_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.11.04es_PE
dc.identifier.doihttps://doi.org/10.1007/978-3-030-71503-8_1
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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