{"id":{"repo_id":"lima","oai_identifier":"oai:repositorio.ulima.edu.pe:20.500.12724/16461"},"canonical_url":"https://search.dev.ndltd.org/etd/lima/oai:repositorio.ulima.edu.pe:20.500.12724/16461","repository":{"repo_id":"lima","name":"Universidad de Lima","base_url":"https://repositorio.ulima.edu.pe/oai/request"},"display":{"title":"Route planning using wireless sensor network for garbage collection in COVID-19 pandemic","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Ramirez Alarcon, Javier Enrique","Santiago Silva, Caleb Misael"],"institution":"Universidad de Lima","degree_name":"Ingeniero de sistemas","degree_level":"Título Profesional","degree_discipline":"Ingeniería de sistemas","degree_department":null,"school":null,"contributors":[],"advisors":["Kamiyama Murakami, Angélica"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022","date_published":"2022","updated_at":"2026-07-24T02:49:49Z","subjects":["Gestión de residuos","Detectores","Recogida de residuos","Refuse and refuse disposal","Detectors","Refuse collection","COVID-19"],"languages":["eng"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.12724/16461","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Kamiyama Murakami, Angélica"]},{"key":"dc:creator","label":"Author","values":["Ramirez Alarcon, Javier Enrique","Santiago Silva, Caleb Misael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-08-31T22:03:52Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-08-31T22:03:52Z"]},{"key":"dc:date.issued","label":"Date","values":["2022"]},{"key":"dc:publisher","label":"Institution","values":["Universidad de Lima"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ingeniería de sistemas"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Título Profesional"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ingeniero de sistemas"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universidad de Lima. 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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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["Repositorio Institucional - Ulima","Universidad de Lima"]},{"key":"dc:title","label":"Title","values":["Route planning using wireless sensor network for garbage collection in COVID-19 pandemic"]}]}],"canonical_facts":{"dc:contributor.advisor":["Kamiyama Murakami, Angélica"],"dc:creator":["Ramirez Alarcon, Javier Enrique","Santiago Silva, Caleb Misael"],"dc:date.accessioned":["2022-08-31T22:03:52Z"],"dc:date.available":["2022-08-31T22:03:52Z"],"dc:date.issued":["2022"],"dc:description.abstract":["Garbage collection is a responsibility faced by all cities and, if not properly carried out, can generate greater costs or sanitary problems. 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