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Towards Dependable IoT via Interface Selection: Predicting Packet Delivery at the End Node in LoRaWAN Networks.

Marc Guerrero1, Cristina Cano1, Xavier Vilajosana1

  • 1Computer Science, Multimedia and Telecommunications Department, Universitat Oberta de Catalunya, 08018 Barcelona, Spain.

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Summary

Predicting wireless packet delivery is possible by estimating channel conditions from the end-device perspective in LoRaWAN networks. This study confirms reliable packet delivery prediction across various feedback levels.

Keywords:
IoTLoRaWANdependabledual-bandestimation

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Area of Science:

  • Wireless Communications
  • Network Engineering
  • Internet of Things (IoT)

Background:

  • Ensuring wireless network dependability is crucial for reliable data transmission.
  • Predicting packet delivery using channel condition estimation is a key strategy.
  • The LoRaWAN protocol stack presents a unique environment for studying this prediction from the end-device.

Purpose of the Study:

  • To investigate the feasibility of estimating packet delivery from the end-device perspective in LoRaWAN.
  • To determine if packet delivery prediction is possible with varying levels of feedback available at the end-device.
  • To correlate end-node connectivity metrics with successful packet reception at the gateway.

Main Methods:

  • An extensive data collection campaign was conducted using the LoRaWAN protocol stack.
  • Analysis of collected data traces to identify correlations between end-node metrics and gateway reception.
  • Evaluation across three feedback scenarios: no feedback, acknowledgment frames, and gateway-side channel status data.

Main Results:

  • Significant correlations were established between end-node connectivity metrics and successful packet delivery.
  • Packet delivery estimation was found to be feasible across all evaluated feedback levels.
  • The study demonstrates the practical applicability of channel condition estimation for dependability.

Conclusions:

  • Estimating channel conditions from the end-device is a viable method for predicting LoRaWAN packet delivery.
  • Reliable packet delivery prediction can be achieved even with limited feedback.
  • This approach enhances the dependability of wireless networks by enabling proactive measures.