Optimizing Power Allocation in LoRaWAN IoT Applications

Yousef A. Al-Gumaei*, Nauman Aslam, Xiaomin Chen, Mohsin Raza, Rafay Iqbal Ansari

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)


    Long-range wide-area network (LoRaWAN) is one of the most promising IoT technologies that are widely adopted in low-power wide-area networks (LPWANs). LoRaWAN faces scalability issues due to a large number of nodes connected to the same gateway and sharing the same channel. Therefore, LoRa networks seek to achieve two main objectives: 1) successful delivery rate and 2) efficient energy consumption. This article proposes a novel game-theoretic framework for LoRaWAN named best equal LoRa (BE-LoRa), to jointly optimize the packet delivery ratio and the energy efficiency (bit/Joule). The utility function of the LoRa node is defined as the ratio of the throughput to the transmit power. LoRa nodes act as rational users (players) which seek to maximize their utility. The aim of the BE-LoRa algorithm is to maximize the utility of LoRa nodes while maintaining the same signal-to-interference-and-noise-ratio (SINR) for each spreading factor (SF). The power allocation algorithm is implemented at the network server, which leads to an optimum SINR, SFs, and transmission power settings of all nodes. Numerical and simulation results show that the proposed BE-LoRa power allocation algorithm has a significant improvement in the packet delivery ratio and energy efficiency as compared to the adaptive data rate (ADR) algorithm of legacy LoRaWAN. For instance, in very dense networks (624 nodes), BE-LoRa can improve the delivery ratio by 17.44% and reduce power consumed by 46% compared to LoRaWAN ADR.

    Original languageEnglish
    Pages (from-to)3429-3442
    Number of pages14
    JournalIEEE Internet of Things Journal
    Issue number5
    Publication statusPublished - 19 Jul 2021


    • Game theory
    • Internet of Things
    • long-range wide-area network (LoRaWAN)
    • power allocation
    • signal-to-interference-and-noise-ratio (SINR) balancing

    ASJC Scopus subject areas

    • Signal Processing
    • Information Systems
    • Hardware and Architecture
    • Computer Science Applications
    • Computer Networks and Communications


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