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Evaluation of an Adaptive Resource Allocation for LoRaWAN

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Abstract

Long Range Wide Area Network (LoRaWAN) emerges to connect devices that require long-range and low-cost (bandwidth and power) communication services. In this context, the adoption of this technology brings new challenges due to the densification of IoT devices, which causes signal interference and affects the QoS directly. On the other hand, the LoRaWAN transmission configurations’ flexibility allows higher management to use end-device parameters, allowing better resource utilization and improve network scalability. We evaluate an adaptive solution that defines the best LoRaWAN parameter settings to reduce the channel utilization and, consequently, maximize the number of packets delivered. Additionally, to validate the method, we used a mixed-integer linear programming solution and compared the results obtained with those given by the heuristics. The results achieved by the heuristics were very close to those provided by the optimal result, demonstrating the effectiveness of the heuristics.

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Acknowledgments

We thank the anonymous reviewers for their valuable comments which helped us improve the quality, content, and presentation of this paper. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001, and also by the Brazilian National Council for Research and Development (CNPq).

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Authors and Affiliations

  1. Federal University of Pará (UFPA), Belém, Brazil

    Jean Moraes, Helder Oliveira, Eduardo Cerqueira & Denis Rosário

  2. University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil

    Cristiano Both

  3. University of Kentucky, Lexington, KY, USA

    Sherali Zeadally

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  1. Jean Moraes
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  2. Helder Oliveira
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Correspondence to Jean Moraes.

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Moraes, J., Oliveira, H., Cerqueira, E. et al. Evaluation of an Adaptive Resource Allocation for LoRaWAN. J Sign Process Syst 94, 65–79 (2022). https://doi.org/10.1007/s11265-021-01678-8

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