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Joint throughput-energy optimization in multi-gateway LoRaWAN networks

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Abstract

Nowadays, LoRaWAN has become one of the most widely deployed low-power wide-area technologies suitable for Internet of Things applications. Sensor nodes powered by battery sources with a finite lifetime are the most common in these applications. Deploying a massive number of these nodes that send sporadic traffic increases collisions. In this paper, we propose a two-step algorithm in order to increase LoRaWAN network throughput, extend its lifetime, and therefore achieve high energy efficiency. First, we formulate a multi-objective optimization problem that jointly maximizes the network throughput and minimizes power consumption. Then, the power control step reduces the transmission power to the minimum allowed level, which preserves the reliability of communications. Our algorithm derives the optimal spreading factor and transmission power configuration for all nodes in LoRaWAN networks with multiple gateways. The results show that the proposed algorithm achieves higher energy efficiency compared to adaptive data rate (ADR) and other relevant state-of-the-art algorithms.

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Notes

  1. Computation time is evaluated on a 2.6 GHz Intel i7 computer with 16 GB of memory size.

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Authors and Affiliations

  1. Ecole Supérieure d’Ingénieurs de Beyrouth (ESIB), Faculty of Engineering, Saint Joseph University of Beirut, Beirut, Lebanon

    Ali Loubany, Samer Lahoud & Melhem El Helou

  2. Centre de Recherche Scientifique en Ingénierie (CRSI), Faculty of Engineering, Lebanese University, Beirut, Lebanon

    Ali Loubany & Abed Ellatif Samhat

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  1. Ali Loubany
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  2. Samer Lahoud
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Loubany, A., Lahoud, S., Samhat, A.E. et al. Joint throughput-energy optimization in multi-gateway LoRaWAN networks. Telecommun Syst 84, 271–283 (2023). https://doi.org/10.1007/s11235-023-01048-8

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