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dc.contributor.author
Ortigueira, Raydel
dc.contributor.author
Montejo Sánchez, Samuel
dc.contributor.author
Henn, Santiago Martín
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dc.contributor.author
Fraire, Juan Andres
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dc.contributor.author
Céspedes, Sandra
dc.date.available
2024-08-14T12:58:09Z
dc.date.issued
2024-07
dc.identifier.citation
Ortigueira, Raydel; Montejo Sánchez, Samuel; Henn, Santiago Martín; Fraire, Juan Andres; Céspedes, Sandra; Satellite Visibility Prediction for Constrained Devices in Direct-to-Satellite IoT Systems; Institute of Electrical and Electronics Engineers; IEEE Sensors Journal; 7-2024; 1-15
dc.identifier.issn
1530-437X
dc.identifier.uri
http://hdl.handle.net/11336/242497
dc.description.abstract
The Internet of Things (IoT) enables the transport of small amounts of data from/to constrained devices such as sensors and actuators. When these devices are located in remote areas without terrestrial network coverage, the Direct-to-Satellite IoT (DtS-IoT) systems become cost-effective solutions. DtS-IoT allows data exchange with remote nodes through low Earth orbit nanosatellites, which are reachable only during short intervals, even during passes with high elevation angles. Therefore, if the constrained nodes become active late concerning a visibility interval, they may miss a transmission opportunity. In the same way, if the nodes become active prematurely, they may incur unnecessary energy consumption. Knowing the duration and start of each visibility interval beforehand allows the constrained devices to increase the probability of successful transmissions and save energy simultaneously. The precise prediction of the intervals of satellite visibility requires sizable energy and computational costs, a significant challenge for constrained devices, particularly for devices devoid of Internet access on the ground. In this paper, we propose a fast and efficient algorithm for satellite visibility prediction that considers the two-body model as a reference and includes a mechanism for the constrained ground nodes to update the orbital information. Numerical and simulation results show that our solution decreases the computation cost by up to 66.53% compared to state-of-the-art visibility prediction algorithms. Furthermore, we show that for each pass of the satellite, the constrained devices successfully update the orbital information 87.12% of the time, this process being completely independent of any supplementary Internet connectivity.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ORBITS
dc.subject
SATELLITES
dc.subject
INTERNET OF THINGS
dc.subject
SATELLITE BROADCASTING
dc.subject
PREDICTION ALGORITHMS
dc.subject
INTERPOLATION
dc.subject
SENSORS
dc.subject.classification
Telecomunicaciones
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dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
Satellite Visibility Prediction for Constrained Devices in Direct-to-Satellite IoT Systems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-08-13T12:26:56Z
dc.journal.pagination
1-15
dc.journal.pais
Estados Unidos
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dc.journal.ciudad
New York
dc.description.fil
Fil: Ortigueira, Raydel. Universidad de Chile.; Chile
dc.description.fil
Fil: Montejo Sánchez, Samuel. Universidad Tecnologica Metropolitana (utem);
dc.description.fil
Fil: Henn, Santiago Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
dc.description.fil
Fil: Fraire, Juan Andres. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
dc.description.fil
Fil: Céspedes, Sandra. Concordia University; Canadá
dc.journal.title
IEEE Sensors Journal
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/10579728/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JSEN.2024.3418728
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