Satellite edge computing for real-time and very-high resolution Earth observation

In high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture and transmit images to ground to create an updated map of an area of interest. Such maps provide valuable information for meteorology and environmental monitoring, but can also be employed for real-time disaster d...

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Autores: Leyva-Mayorga, Israel, Martínez Gost, Marc|||0000-0003-0070-6807, Moretti, Marco, Pérez Neira, Ana Isabel|||0000-0003-4281-3934, Vázquez Oliver, Miguel Ángel, Popovski, Petar, Soret, Beatriz
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/394188
Acceso en línea:https://hdl.handle.net/2117/394188
https://dx.doi.org/10.1109/TCOMM.2023.3296584
Access Level:acceso abierto
Palabra clave:Energy consumption
Artificial satellites in earth sciences
Earth observation
Low Earth Orbit (LEO)
Satellite communications
Satellite imagery
Satellite mobile edge computing (SMEC).
Energia -- Consum
Satèl·lits artificials en ciències de la terra
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
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repository_id_str
spelling Satellite edge computing for real-time and very-high resolution Earth observationLeyva-Mayorga, IsraelMartínez Gost, Marc|||0000-0003-0070-6807Moretti, MarcoPérez Neira, Ana Isabel|||0000-0003-4281-3934Vázquez Oliver, Miguel ÁngelPopovski, PetarSoret, BeatrizEnergy consumptionArtificial satellites in earth sciencesEarth observationLow Earth Orbit (LEO)Satellite communicationsSatellite imagerySatellite mobile edge computing (SMEC).Energia -- ConsumSatèl·lits artificials en ciències de la terraÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaçosIn high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture and transmit images to ground to create an updated map of an area of interest. Such maps provide valuable information for meteorology and environmental monitoring, but can also be employed for real-time disaster detection and management. However, the amount of data generated by these applications can easily exceed the communication capabilities of LEO satellites, leading to congestion and packet dropping. To avoid these problems, the Inter-Satellite Links (ISLs) can be used to distribute the data among multiple satellites and speed up processing. In this paper, we formulate a satellite mobile edge computing (SMEC) framework for real-time and very-high resolution Earth observation and optimize the image distribution and compression parameters to minimize energy consumption. Our results show that our approach increases the amount of images that the system can support by a factor of 12× and 2× when compared to directly downloading the data and to local SMEC, respectively. Furthermore, energy consumption was reduced by 11% in a real-life scenario of imaging a volcanic island, while a sensitivity analysis of the image acquisition process demonstrates that energy consumption can be reduced by up to 90%.This work was partially funded by SatNEx-V, co-funded by the European Space Agency (ESA). The work of Ana Perez-Neira is partially supported by Project IRENE- (PID2020-115323RB-C31) funded by MCIN/AEI/10.13039/501100011033.Peer Reviewed20232023-10-0120232023-09-28journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/394188https://dx.doi.org/10.1109/TCOMM.2023.3296584reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3941882026-05-27T15:37:01Z
dc.title.none.fl_str_mv Satellite edge computing for real-time and very-high resolution Earth observation
title Satellite edge computing for real-time and very-high resolution Earth observation
spellingShingle Satellite edge computing for real-time and very-high resolution Earth observation
Leyva-Mayorga, Israel
Energy consumption
Artificial satellites in earth sciences
Earth observation
Low Earth Orbit (LEO)
Satellite communications
Satellite imagery
Satellite mobile edge computing (SMEC).
Energia -- Consum
Satèl·lits artificials en ciències de la terra
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
title_short Satellite edge computing for real-time and very-high resolution Earth observation
title_full Satellite edge computing for real-time and very-high resolution Earth observation
title_fullStr Satellite edge computing for real-time and very-high resolution Earth observation
title_full_unstemmed Satellite edge computing for real-time and very-high resolution Earth observation
title_sort Satellite edge computing for real-time and very-high resolution Earth observation
dc.creator.none.fl_str_mv Leyva-Mayorga, Israel
Martínez Gost, Marc|||0000-0003-0070-6807
Moretti, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Vázquez Oliver, Miguel Ángel
Popovski, Petar
Soret, Beatriz
author Leyva-Mayorga, Israel
author_facet Leyva-Mayorga, Israel
Martínez Gost, Marc|||0000-0003-0070-6807
Moretti, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Vázquez Oliver, Miguel Ángel
Popovski, Petar
Soret, Beatriz
author_role author
author2 Martínez Gost, Marc|||0000-0003-0070-6807
Moretti, Marco
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Vázquez Oliver, Miguel Ángel
Popovski, Petar
Soret, Beatriz
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Energy consumption
Artificial satellites in earth sciences
Earth observation
Low Earth Orbit (LEO)
Satellite communications
Satellite imagery
Satellite mobile edge computing (SMEC).
Energia -- Consum
Satèl·lits artificials en ciències de la terra
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
topic Energy consumption
Artificial satellites in earth sciences
Earth observation
Low Earth Orbit (LEO)
Satellite communications
Satellite imagery
Satellite mobile edge computing (SMEC).
Energia -- Consum
Satèl·lits artificials en ciències de la terra
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
description In high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture and transmit images to ground to create an updated map of an area of interest. Such maps provide valuable information for meteorology and environmental monitoring, but can also be employed for real-time disaster detection and management. However, the amount of data generated by these applications can easily exceed the communication capabilities of LEO satellites, leading to congestion and packet dropping. To avoid these problems, the Inter-Satellite Links (ISLs) can be used to distribute the data among multiple satellites and speed up processing. In this paper, we formulate a satellite mobile edge computing (SMEC) framework for real-time and very-high resolution Earth observation and optimize the image distribution and compression parameters to minimize energy consumption. Our results show that our approach increases the amount of images that the system can support by a factor of 12× and 2× when compared to directly downloading the data and to local SMEC, respectively. Furthermore, energy consumption was reduced by 11% in a real-life scenario of imaging a volcanic island, while a sensitivity analysis of the image acquisition process demonstrates that energy consumption can be reduced by up to 90%.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-10-01
2023
2023-09-28
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/394188
https://dx.doi.org/10.1109/TCOMM.2023.3296584
url https://hdl.handle.net/2117/394188
https://dx.doi.org/10.1109/TCOMM.2023.3296584
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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