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Joint throughput-energy optimization in multi-gateway LoRaWAN networks

Author

Listed:
  • Ali Loubany

    (Saint Joseph University of Beirut
    Lebanese University)

  • Samer Lahoud

    (Saint Joseph University of Beirut)

  • Abed Ellatif Samhat

    (Lebanese University)

  • Melhem El Helou

    (Saint Joseph University of Beirut)

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.

Suggested Citation

  • Ali Loubany & Samer Lahoud & Abed Ellatif Samhat & Melhem El Helou, 2023. "Joint throughput-energy optimization in multi-gateway LoRaWAN networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(2), pages 271-283, October.
    • Handle: RePEc:spr:telsys:v:84:y:2023:i:2:d:10.1007_s11235-023-01048-8
    DOI: 10.1007/s11235-023-01048-8
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