LPWAN

Embedding ML Algorithms onto LPWAN Sensors for Compressed Communications

Lossy compression method using ML techniques for efficient data transmission in LPWANs, focused on balancing compression ratio and accuracy, while analyzing system aspects like energy consumption and error rates, revealed that ML can lead to energy savings in constrained sensor devices.

DNS-based dynamic context resolution for SCHC

Mechanism using DNS for efficient IPv6 communication in LPWANs, particularly LoRaWAN. It focuses on retrieving context rules dynamically from an HTTP server to compress IPv6 and UDP headers for various End Device profiles, evaluating the added communication delay with real testbed measurements.