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<p>Wireless Sensor Networks and LoRa are essential technologies for building low-power, long-range monitoring, and communication systems. Network and application servers are fundamental in providing sensor data in a LoRaWAN infrastructure. However, small changes in sensor configurations can lead to large variations in the performance of the architecture as a whole. The limited coverage of sensors and the lack of connectivity in remote areas make it difficult to obtain information, in addition, there needs to be an automated and low-cost system, as experiments in the real world require the cost of purchasing equipment. The proposed approach in this paper is to utilize stochastic Petri nets to analyze the performance of LoRaWAN networks with a focus on the sensor layer. This approach considers various factors, such as the data retransmission strategy, and evaluates its impact on the final throughput. Five case studies are presented, demonstrating the usefulness of the adopted methodology. The model is adaptable to other scenarios with characteristics similar to the LoRa architecture.</p>

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Assessing the performance of a fault tolerant LoRaWAN architecture with a focus on the sensor layer and data retransmission strategy

  • 期刊论文

  • 发表日期：

    2025年2月25日

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  • Israel Araújo,
  • Vandirleya Barbosa,
  • Luiz Nelson Lima,
  • Luis Guilherme Silva,
  • Carlos Brito,
  • Iure Fé,
  • Lucas Lopes,
  • Ermeson Andrade,
  • Erico Leão,
  • Francisco Airton Silva

摘要

Wireless Sensor Networks and LoRa are essential technologies for building low-power, long-range monitoring, and communication systems. Network and application servers are fundamental in providing sensor data in a LoRaWAN infrastructure. However, small changes in sensor configurations can lead to large variations in the performance of the architecture as a whole. The limited coverage of sensors and the lack of connectivity in remote areas make it difficult to obtain information, in addition, there needs to be an automated and low-cost system, as experiments in the real world require the cost of purchasing equipment. The proposed approach in this paper is to utilize stochastic Petri nets to analyze the performance of LoRaWAN networks with a focus on the sensor layer. This approach considers various factors, such as the data retransmission strategy, and evaluates its impact on the final throughput. Five case studies are presented, demonstrating the usefulness of the adopted methodology. The model is adaptable to other scenarios with characteristics similar to the LoRa architecture.