Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem

Detalhes bibliográficos
Autor(a) principal: Rigo, Cezar Antônio
Data de Publicação: 2023
Outros Autores: Morsch Filho, Edemar [UNESP], Seman, Laio Oriel, Loures, Luís, Leithardt, Valderi Reis Quietinho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/data8030062
http://hdl.handle.net/11449/247060
Resumo: This paper discusses several cases of the Offline Nanosatellite Task Scheduling (ONTS) optimization problem, which seeks to schedule the start and finish timings of payloads on a nanosatellite. Modeled after the FloripaSat-I mission, a nanosatellite, the examples were built expressly to test the performance of various solutions to the ONTS problem. Realistic input data for power harvesting calculations were used to generate the instances, and an instance creation procedure was employed to increase the instances’ difficulty. The instances are made accessible to the public to facilitate a fair comparison of various solutions and to aid in establishing a baseline for the ONTS problem. Additionally, the study discusses the various orbit types and their effects on energy harvesting and mission performance.
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spelling Instance and Data Generation for the Offline Nanosatellite Task Scheduling Probleminstance generationnanosatelliteONTSQoSThis paper discusses several cases of the Offline Nanosatellite Task Scheduling (ONTS) optimization problem, which seeks to schedule the start and finish timings of payloads on a nanosatellite. Modeled after the FloripaSat-I mission, a nanosatellite, the examples were built expressly to test the performance of various solutions to the ONTS problem. Realistic input data for power harvesting calculations were used to generate the instances, and an instance creation procedure was employed to increase the instances’ difficulty. The instances are made accessible to the public to facilitate a fair comparison of various solutions and to aid in establishing a baseline for the ONTS problem. Additionally, the study discusses the various orbit types and their effects on energy harvesting and mission performance.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaDepartment of Electrical Engineering Federal University of Santa Catarina (UFSC)Department of Aeronautical Engineering São Paulo State University (UNESP)Graduate Program in Applied Computer Science University of Vale do Itajaí (UNIVALI)Industrial and Systems Engineering Graduate Program Pontifical Catholic University of ParanaVALORIZA—Research Center for Endogenous Resources Valorization Instituto Politécnico de PortalegreDepartment of Aeronautical Engineering São Paulo State University (UNESP)CNPq: 150281/2022-6Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina: 2021TR001851CNPq: 404576/2021-4Universidade Federal de Santa Catarina (UFSC)Universidade Estadual Paulista (UNESP)University of Vale do Itajaí (UNIVALI)Pontifical Catholic University of ParanaInstituto Politécnico de PortalegreRigo, Cezar AntônioMorsch Filho, Edemar [UNESP]Seman, Laio OrielLoures, LuísLeithardt, Valderi Reis Quietinho2023-07-29T12:58:01Z2023-07-29T12:58:01Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/data8030062Data, v. 8, n. 3, 2023.2306-5729http://hdl.handle.net/11449/24706010.3390/data80300622-s2.0-85151063477Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengDatainfo:eu-repo/semantics/openAccess2023-07-29T12:58:01Zoai:repositorio.unesp.br:11449/247060Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:20:59.795915Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
title Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
spellingShingle Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
Rigo, Cezar Antônio
instance generation
nanosatellite
ONTS
QoS
title_short Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
title_full Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
title_fullStr Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
title_full_unstemmed Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
title_sort Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem
author Rigo, Cezar Antônio
author_facet Rigo, Cezar Antônio
Morsch Filho, Edemar [UNESP]
Seman, Laio Oriel
Loures, Luís
Leithardt, Valderi Reis Quietinho
author_role author
author2 Morsch Filho, Edemar [UNESP]
Seman, Laio Oriel
Loures, Luís
Leithardt, Valderi Reis Quietinho
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Santa Catarina (UFSC)
Universidade Estadual Paulista (UNESP)
University of Vale do Itajaí (UNIVALI)
Pontifical Catholic University of Parana
Instituto Politécnico de Portalegre
dc.contributor.author.fl_str_mv Rigo, Cezar Antônio
Morsch Filho, Edemar [UNESP]
Seman, Laio Oriel
Loures, Luís
Leithardt, Valderi Reis Quietinho
dc.subject.por.fl_str_mv instance generation
nanosatellite
ONTS
QoS
topic instance generation
nanosatellite
ONTS
QoS
description This paper discusses several cases of the Offline Nanosatellite Task Scheduling (ONTS) optimization problem, which seeks to schedule the start and finish timings of payloads on a nanosatellite. Modeled after the FloripaSat-I mission, a nanosatellite, the examples were built expressly to test the performance of various solutions to the ONTS problem. Realistic input data for power harvesting calculations were used to generate the instances, and an instance creation procedure was employed to increase the instances’ difficulty. The instances are made accessible to the public to facilitate a fair comparison of various solutions and to aid in establishing a baseline for the ONTS problem. Additionally, the study discusses the various orbit types and their effects on energy harvesting and mission performance.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:58:01Z
2023-07-29T12:58:01Z
2023-03-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/data8030062
Data, v. 8, n. 3, 2023.
2306-5729
http://hdl.handle.net/11449/247060
10.3390/data8030062
2-s2.0-85151063477
url http://dx.doi.org/10.3390/data8030062
http://hdl.handle.net/11449/247060
identifier_str_mv Data, v. 8, n. 3, 2023.
2306-5729
10.3390/data8030062
2-s2.0-85151063477
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Data
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128500579696640

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