University of Oulu

F. A. Tondo, V. D. P. Souto, O. L. Alcaraz López, S. Montejo-Sánchez, S. Céspedes and R. D. Souza, "Optimal Traffic Load Allocation for Aloha-Based IoT LEO Constellations," in IEEE Sensors Journal, vol. 23, no. 3, pp. 3270-3282, 1 Feb.1, 2023, doi: 10.1109/JSEN.2022.3230796.

Optimal traffic load allocation for Aloha-based IoT LEO constellations

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Author: Tondo, Felipe Augusto1; Souto, Victoria Dala Pegorara2; Alcaraz López, Onel Luis3;
Organizations: 1Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Santa Catarina, Florianópolis, Brazil
2Instito Nacional de Telecomunicações - INATEL, Santa Rita do Sapucaí, State of Minas Gerais, Brazil
3Centre for Wireless Communications, University of Oulu, Oulu, Finland
4Programa Institucional de Fomento a la Investigación, Desarrollo e Innovación, Universidad Tecnológica Metropolitana, Santiago, Chile
5Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-03-13


The deployment of satellite networks is key to providing global wireless connectivity for the Internet of Things (IoT). In this line, we consider a cluster of IoT devices served by a constellation of low-Earth-orbit (LEO) satellites, while slotted Aloha is used as a medium-access-control (MAC) technique in the uplink. To characterize the channel, we employ an ON–OFF fading channel model that estimates the quality of the links between the cluster of IoT devices and the LEO satellites within the constellation, by taking into account their relative positions. Since each relative position of the constellation with respect to the cluster of IoT devices leads to a different throughput for a given traffic load, we propose a novel traffic load distribution strategy based on successive convex approximation (SCA) to maximize the system throughput. The method adequately allocates the traffic load among the different constellation positions with respect to the IoT cluster. Finally, the results show that the proposed method outperforms other recently proposed strategies based on heuristics for traffic load allocation, while it also achieves a stable nonzero throughput even for large traffic loads.

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Series: IEEE sensors journal
ISSN: 1530-437X
ISSN-E: 1558-1748
ISSN-L: 1530-437X
Volume: 23
Issue: 3
Pages: 3270 - 3282
DOI: 10.1109/JSEN.2022.3230796
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
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