Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities

Direct-to-satellite Internet of Things (IoT) solutions have attracted a lot of attention from industry and academia recently, as promising alternatives for large scale coverage of a massive number of IoT devices. In this work, we considered that a cluster of IoT devices was under the coverage of a c...

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Autores principales: Felipe Augusto Tondo, Samuel Montejo-Sánchez, Marcelo Eduardo Pellenz, Sandra Céspedes, Richard Demo Souza
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/cd51866f8385411d8ff4420c9a88cc44
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spelling oai:doaj.org-article:cd51866f8385411d8ff4420c9a88cc442021-11-11T19:06:44ZDirect-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities10.3390/s212170991424-8220https://doaj.org/article/cd51866f8385411d8ff4420c9a88cc442021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7099https://doaj.org/toc/1424-8220Direct-to-satellite Internet of Things (IoT) solutions have attracted a lot of attention from industry and academia recently, as promising alternatives for large scale coverage of a massive number of IoT devices. In this work, we considered that a cluster of IoT devices was under the coverage of a constellation of low-Earth orbit (LEO) satellites, while slotted Aloha was used as a medium access control technique. Then, we analyzed the throughput and packet loss rate while considering potentially different erasure probabilities at each of the visible satellites within the constellation. We show that different combinations of erasure probabilities at the LEO satellites and the IoT traffic load can lead to considerable differences in the system’s performance. Next, we introduce an intelligent traffic load distribution (ITLD) strategy, which, by choosing between a non-uniform allocation and the uniform traffic load distribution, guarantees a high overall system throughput, by allocating more appropriate amounts of traffic load at different positions (i.e., different sets of erasure probabilities) of the LEO constellation with respect to the IoT cluster. Finally, the results show that ITLD, a mechanism with low implementation complexity, allows the system to be much more scalable, intelligently exploiting the potential of the different positions of the satellite constellation.Felipe Augusto TondoSamuel Montejo-SánchezMarcelo Eduardo PellenzSandra CéspedesRichard Demo SouzaMDPI AGarticlemachine-type communicationsIoTsatellite communicationsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7099, p 7099 (2021)
institution DOAJ
collection DOAJ
language EN
topic machine-type communications
IoT
satellite communications
Chemical technology
TP1-1185
spellingShingle machine-type communications
IoT
satellite communications
Chemical technology
TP1-1185
Felipe Augusto Tondo
Samuel Montejo-Sánchez
Marcelo Eduardo Pellenz
Sandra Céspedes
Richard Demo Souza
Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
description Direct-to-satellite Internet of Things (IoT) solutions have attracted a lot of attention from industry and academia recently, as promising alternatives for large scale coverage of a massive number of IoT devices. In this work, we considered that a cluster of IoT devices was under the coverage of a constellation of low-Earth orbit (LEO) satellites, while slotted Aloha was used as a medium access control technique. Then, we analyzed the throughput and packet loss rate while considering potentially different erasure probabilities at each of the visible satellites within the constellation. We show that different combinations of erasure probabilities at the LEO satellites and the IoT traffic load can lead to considerable differences in the system’s performance. Next, we introduce an intelligent traffic load distribution (ITLD) strategy, which, by choosing between a non-uniform allocation and the uniform traffic load distribution, guarantees a high overall system throughput, by allocating more appropriate amounts of traffic load at different positions (i.e., different sets of erasure probabilities) of the LEO constellation with respect to the IoT cluster. Finally, the results show that ITLD, a mechanism with low implementation complexity, allows the system to be much more scalable, intelligently exploiting the potential of the different positions of the satellite constellation.
format article
author Felipe Augusto Tondo
Samuel Montejo-Sánchez
Marcelo Eduardo Pellenz
Sandra Céspedes
Richard Demo Souza
author_facet Felipe Augusto Tondo
Samuel Montejo-Sánchez
Marcelo Eduardo Pellenz
Sandra Céspedes
Richard Demo Souza
author_sort Felipe Augusto Tondo
title Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
title_short Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
title_full Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
title_fullStr Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
title_full_unstemmed Direct-to-Satellite IoT Slotted Aloha Systems with Multiple Satellites and Unequal Erasure Probabilities
title_sort direct-to-satellite iot slotted aloha systems with multiple satellites and unequal erasure probabilities
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/cd51866f8385411d8ff4420c9a88cc44
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