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An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites

When managing a constellation of nanosatellites, one may leverage this structure to improve the mission’s quality-of-service (QoS) by optimally distributing the tasks during an orbit. In this sense, this research proposes an offline energy-aware task scheduling problem formulation regarding the spec...

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Autores principales: Seman, Laio Oriel, Ribeiro, Brenda F., Rigo, Cezar A., Filho, Edemar Morsch, Camponogara, Eduardo, Leonardi, Rodrigo, Bezerra, Eduardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143944/
https://www.ncbi.nlm.nih.gov/pubmed/35632126
http://dx.doi.org/10.3390/s22103715
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author Seman, Laio Oriel
Ribeiro, Brenda F.
Rigo, Cezar A.
Filho, Edemar Morsch
Camponogara, Eduardo
Leonardi, Rodrigo
Bezerra, Eduardo A.
author_facet Seman, Laio Oriel
Ribeiro, Brenda F.
Rigo, Cezar A.
Filho, Edemar Morsch
Camponogara, Eduardo
Leonardi, Rodrigo
Bezerra, Eduardo A.
author_sort Seman, Laio Oriel
collection PubMed
description When managing a constellation of nanosatellites, one may leverage this structure to improve the mission’s quality-of-service (QoS) by optimally distributing the tasks during an orbit. In this sense, this research proposes an offline energy-aware task scheduling problem formulation regarding the specifics of constellations, by considering whether the tasks are individual, collective, or stimulated to be redundant. By providing such an optimization framework, the idea of estimating an offline task schedule can serve as a baseline for the constellation design phase. For example, given a particular orbit, from the simulation of an irradiance model, the engineer can estimate how the mission value is affected by the inclusion or exclusion of individuals objects. The proposed model, given in the form of a multi-objective mixed-integer linear programming model, is illustrated in this work for several illustrative scenarios considering different sets of tasks and constellations. We also perform an analysis of the Pareto-optimal frontier of the problem, identifying the feasible trade-off points between constellation and individual tasks. This information can be useful to the decision-maker (mission operator) when planning the behavior in orbit.
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spelling pubmed-91439442022-05-29 An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites Seman, Laio Oriel Ribeiro, Brenda F. Rigo, Cezar A. Filho, Edemar Morsch Camponogara, Eduardo Leonardi, Rodrigo Bezerra, Eduardo A. Sensors (Basel) Article When managing a constellation of nanosatellites, one may leverage this structure to improve the mission’s quality-of-service (QoS) by optimally distributing the tasks during an orbit. In this sense, this research proposes an offline energy-aware task scheduling problem formulation regarding the specifics of constellations, by considering whether the tasks are individual, collective, or stimulated to be redundant. By providing such an optimization framework, the idea of estimating an offline task schedule can serve as a baseline for the constellation design phase. For example, given a particular orbit, from the simulation of an irradiance model, the engineer can estimate how the mission value is affected by the inclusion or exclusion of individuals objects. The proposed model, given in the form of a multi-objective mixed-integer linear programming model, is illustrated in this work for several illustrative scenarios considering different sets of tasks and constellations. We also perform an analysis of the Pareto-optimal frontier of the problem, identifying the feasible trade-off points between constellation and individual tasks. This information can be useful to the decision-maker (mission operator) when planning the behavior in orbit. MDPI 2022-05-13 /pmc/articles/PMC9143944/ /pubmed/35632126 http://dx.doi.org/10.3390/s22103715 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Seman, Laio Oriel
Ribeiro, Brenda F.
Rigo, Cezar A.
Filho, Edemar Morsch
Camponogara, Eduardo
Leonardi, Rodrigo
Bezerra, Eduardo A.
An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title_full An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title_fullStr An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title_full_unstemmed An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title_short An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites
title_sort energy-aware task scheduling for quality-of-service assurance in constellations of nanosatellites
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143944/
https://www.ncbi.nlm.nih.gov/pubmed/35632126
http://dx.doi.org/10.3390/s22103715
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