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Título: Route planning using wireless sensor network for garbage collection in COVID-19 pandemic
Asesor(es): Kamiyama Murakami, Angélica
Campo OCDE: https://purl.org/pe-repo/ocde/ford#2.02.04
Fecha de publicación: 2022
Institución: Universidad de Lima
Resumen: Garbage 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.
Disciplina académico-profesional: Ingeniería de sistemas
Institución que otorga el grado o título: Universidad de Lima. Facultad de Ingeniería y Arquitectura
Grado o título: Ingeniero de sistemas
Jurado: Alvarez Valdivia, Edwin Manuel; Guzman Jimenez, Rosario Marybel; Cardenas Salas, Daniel Erique; Matuk Chijner, Andrea
Fecha de registro: 31-ago-2022; 31-ago-2022



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