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dc.contributor.advisorKamiyama Murakami, Angélica
dc.contributor.authorRamirez Alarcon, Javier Enrique
dc.contributor.authorSantiago Silva, Caleb Misael
dc.date.accessioned2022-08-31T22:03:52Z
dc.date.available2022-08-31T22:03:52Z
dc.date.issued2022
dc.identifier.citationRamirez Alarcon, J. E. y Santiago Silva, C. M. (2022). Route planning using wireless sensor network for garbage collection in COVID-19 pandemic [Tesis para optar el Título Profesional de Ingeniero de Sistemas, Universidad de Lima]. Repositorio institucional de la Universidad de Lima. https://hdl.handle.net/20.500.12724/16461es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12724/16461
dc.description.abstractGarbage collection is a responsibility faced by all cities and, if not properly carried out, can generate greater costs or sanitary problems. Considering the sanitary situation due to the COVID-19 pandemic, it is necessary to take sanitary safety measures to prevent its spread. The challenge of the present work is to provide an efficient and effective solution that guarantees a garbage collection that optimizes the use of resources and prioritizes the attention to garbage containers located in or near contagion risk zones. To this end, this research proposes the integration of a basic garbage monitoring system, consisting of a wireless sensor network, and a route planning system that implements the decomposition of the Vehicle Routing problem into the subproblems of clustering and sequencing of containers using the K-Means and Ant Colony algorithms. For the monitoring of garbage, a significant reduction in the measurement error of waste level in the containers was achieved compared to other authors. About route planning, adequate error ranges were obtained in the calculation of the optimal values of distance traveled and travel time indicators with respect to an exhaustive enumeration of routes.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherUniversidad de Limaes_PE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.sourceRepositorio Institucional - Ulimaes_PE
dc.sourceUniversidad de Limaes_PE
dc.subjectGestión de residuoses_PE
dc.subjectDetectoreses_PE
dc.subjectRecogida de residuoses_PE
dc.subjectRefuse and refuse disposales_PE
dc.subjectDetectorses_PE
dc.subjectRefuse collectiones_PE
dc.subjectCOVID-19es_PE
dc.subject.classificationIngeniería de sistemas / Diseño y métodoses_PE
dc.titleRoute planning using wireless sensor network for garbage collection in COVID-19 pandemices_PE
dc.typeinfo:eu-repo/semantics/bachelorThesis
thesis.degree.disciplineIngeniería de sistemases_PE
thesis.degree.grantorUniversidad de Lima. Facultad de Ingeniería y Arquitecturaes_PE
thesis.degree.levelTítulo profesionales_PE
thesis.degree.nameIngeniero de sistemases_PE
dc.publisher.countryPEes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04
renati.author.dni74925294
renati.author.dni74906882
renati.jurorMatuk Chijner, Andrea
renati.jurorCardenas Salas, Daniel Erique
renati.jurorAlvarez Valdivia, Edwin Manuel
renati.jurorGuzman Jimenez, Rosario Marybel
renati.levelhttp://purl.org/pe-repo/renati/level#tituloProfesional
renati.typehttps://purl.org/pe-repo/renati/type#tesis
renati.discipline612076
dc.contributor.student1, OA, S


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