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Time-Constrained Erasure Correction for Data Recovery in UAV-LoRa-WuR Networks (2403.09782v3)
Published 14 Mar 2024 in cs.NI and eess.SP
Abstract: We described two erasure-correction schemes for data recovery in UAV-LoRa-WuR networks. Our results show that unless the maximum number for redundant frames a sensor can send per data-collection cycle is very small, erasure coding provides noticeable improvements over an uncoded transmissions. Whether to employ coding -- and if so, which type -- should be determined based on the sensors' energy budget (which dictates the maximum redundancy), the UAV's hovering time, and the node density. The analytical framework presented above aids in this decision making.
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