Instance and Data Generation for the Offline Nanosatellite Task Scheduling Problem

Cezar Antônio Rigo, Edemar Morsch Filho, Laio Oriel Seman (), Luís Loures and Valderi Reis Quietinho Leithardt
Additional contact information
Cezar Antônio Rigo: Department of Electrical Engineering, Federal University of Santa Catarina (UFSC), Florianópolis 88040-900, Brazil
Edemar Morsch Filho: Department of Aeronautical Engineering, São Paulo State University (UNESP), São João da Boa Vista 13876-750, Brazil
Laio Oriel Seman: Graduate Program in Applied Computer Science, University of Vale do Itajaí (UNIVALI), Itajaí 88302-901, Brazil
Luís Loures: VALORIZA—Research Center for Endogenous Resources Valorization, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal
Valderi Reis Quietinho Leithardt: VALORIZA—Research Center for Endogenous Resources Valorization, Instituto Politécnico de Portalegre, 7300-555 Portalegre, Portugal

Data, 2023, vol. 8, issue 3, 1-14

Abstract: 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.

Keywords: instance generation; nanosatellite; QoS; ONTS (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/8/3/62/pdf (application/pdf)
https://www.mdpi.com/2306-5729/8/3/62/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:8:y:2023:i:3:p:62-:d:1103270

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().