Title
Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames
Abstract
Due to power limitations and coexistence in ISM bands, up to 50% of the Long Range (LoRa)-frames are corrupted at low signal strengths (≈ -115dBm) and the built-in redundancy schemes in LoRa-Wide Area Network (LoRaWAN) cannot correct the corrupted bytes. To address this, higher Spreading Factors (SF) are used resulting in wasted energy, increased traffic load, and highly compromised effective data rate. Our on-field experiments showed a high correlation in the corruption of close-by frames. We propose a novel Divide & Code (DC) scheme for LoRaWANs as an alternative to using higher SF. DC pre-encodes LoRa payloads using lightweight and memoryless encoding. After receiving a corrupted frame, DC uses a combination of most probable patterns of errors, Time Thresholds (TT), and splitting of payloads into subgroups for batch processing to recover frames effectively and maintain low complexity and timely operation. By implementing DC on our LoRa-testbed, we show it outperforms vanilla-LoRaWAN and Reed-Solomon codes in decoding and energy consumption. Our schemes decode up to 80.5% of corrupted payloads on SF10 by trying only 0.03% of all patterns of error combinations. TT keeps processing times below 2 ms with only minor reductions in the decoding ratio of corrupted payloads. Finally, we showcase that introducing 30% redundancy with DC results in minimum energy consumption and high decoding ratio at low SNRs.
Year
DOI
Venue
2022
10.1109/SECON55815.2022.9918571
2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
Keywords
DocType
ISSN
novel divide & code scheme,increased traffic load,wasted energy,higher spreading factors,corrupted bytes,LoRa wide area network,redundancy schemes,low signal strengths,long range frames,ISM bands,power limitations,corrupted LoRa frames,real-time data recovery,low SNRs,high decoding ratio,minimum energy consumption,DC results,error combinations,corrupted payloads,Reed-Solomon codes,vanilla-LoRaWAN,LoRa-testbed,timely operation,TT,time thresholds,probable patterns,corrupted frame,memoryless encoding,lightweight encoding,DC pre-encodes LoRa payloads,on-field experiments,highly compromised effective data rate
Conference
2155-5486
ISBN
Citations 
PageRank 
978-1-6654-8644-6
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Niloofar Yazdani100.34
Nikolaos Kouvelas200.34
Daniel E. Lucani323642.29
R Venkatesha Prasad400.34