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dc.contributor.author
Ilabaca Parra, Pablo
dc.contributor.author
Montejo Sanchez, Samuel
dc.contributor.author
Fraire, Juan Andres
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dc.contributor.author
Demo Souza, Richard
dc.contributor.author
Cespedes, Sandra
dc.date.available
2023-10-24T17:46:17Z
dc.date.issued
2022-06
dc.identifier.citation
Ilabaca Parra, Pablo; Montejo Sanchez, Samuel; Fraire, Juan Andres; Demo Souza, Richard; Cespedes, Sandra; Network Size Estimation for Direct-to-Satellite IoT; Institute of Electrical and Electronics Engineers; IEEE Internet of Things Journal; 10; 7; 6-2022; 6111-6125
dc.identifier.issn
2327-4662
dc.identifier.uri
http://hdl.handle.net/11336/215786
dc.description.abstract
The worldwide adoption of the Internet of Things (IoT) depends on the massive deployment of sensor nodes and timely data collection. However, installing the required ground infrastructure in remote or inaccessible areas can be economically unattractive or unfeasible. Cost-effective nanosatellites deployed in low Earth orbits (LEOs) are emerging as an alternative solution: on-board IoT gateways provide access to remote IoT devices, according to direct-to-satellite IoT (DtS-IoT) architectures. One of the main challenges of DtS-IoT is to devise communication protocols that scale to thousands of highly constrained devices served by likewise constrained orbiting gateways. In this article, we tackle this issue by first estimating the (varying) size of the device set underneath the (mobile) nanosatellite footprint. Then, we demonstrate the applicability of the estimation when used to intelligently throttle DtS-IoT access protocols. Since recent works have shown that MAC protocols improve the throughput and energy efficiency of a DtS-IoT network when a network size estimation is available, we present, here, a novel and computationally efficient network size estimator in DtS-IoT: our optimistic collision information (OCI)-based estimator. We evaluate OCI's effectiveness with extensive simulations of DtS-IoT scenarios. Results show that when using network size estimations, the scalability of a frame-slotted Aloha-based DtS-IoT network is boosted eightfold, serving up to $4 imes 10^{3}$ devices, without energy efficiency penalties. We also show the effectiveness of the OCI mechanism given realistic detection ratios and demonstrate its low computational cost implementation, making it a strong candidate for network estimation in DtS-IoT.
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
DIRECT-TO-SATELLITE
dc.subject
INTERNET OF THINGS (IOT)
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MEDIUM ACCESS CONTROL
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NETWORK SIZE ESTIMATION
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SATELLITE COMMUNICATIONS
dc.subject.classification
Ciencias de la Computación
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dc.subject.classification
Ciencias de la Computación e Información
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Network Size Estimation for Direct-to-Satellite IoT
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-10-23T16:58:33Z
dc.journal.volume
10
dc.journal.number
7
dc.journal.pagination
6111-6125
dc.journal.pais
Alemania
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dc.description.fil
Fil: Ilabaca Parra, Pablo. Universidad de Chile; Chile
dc.description.fil
Fil: Montejo Sanchez, Samuel. Universidad Autónoma Metropolitana; México
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Fil: Fraire, Juan Andres. Universitat Saarland; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
dc.description.fil
Fil: Demo Souza, Richard. Universidade Federal de Santa Catarina; Brasil
dc.description.fil
Fil: Cespedes, Sandra. Universidad de Chile; Chile
dc.journal.title
IEEE Internet of Things Journal
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JIOT.2022.3224678
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