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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.
Sensors (Basel, Switzerland)
|April 30, 2021
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.
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.
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