Abstract:
Smart applications increasingly use IoT solutions. Low-cost, long-range Low Power Wide Area Network (LPWAN) technologies are needed for smart application communication. LoRaWAN, a low-cost, energy-efficient LPWAN solution, is growing globally. LoRaWAN’s basic configuration doesn’t guarantee reliable communication.
Channel effects and end-device mobility can cause lost frames. We measure a new LoRaWAN network extensively to characterize its spatial and temporal properties. The empirical outage probability for the farthest measured distance from the closest gateway, 7.5km in our deployment, is 0.004, but frame loss was up to 70%. We demonstrate frame loss burstiness in mobile and stationary scenarios. Since frames are transmitted once, frame loss causes data loss.
DaRe, a novel data recovery coding scheme, extends frames with redundant information calculated from previous frames to reduce LoRaWAN data loss. DaRe uses convolutional and fountain codes. We implement DaRe and recover 99% of data with a code rate of 1/2 for up to 40% frame loss.
DaRe recovers 21% more data than repetition coding and saves 42% on transmission energy for 10-byte data units. DaRe resists bursty frame loss. This study benefits LoRaWAN network operators and application developers. Application developers can use the characterisation results to prevent data loss, and network operators can identify network weaknesses.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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