This paper proposes a method to improve LoRaWAN connectivity for mobile vehicles using machine learning and DNS prefetching, reducing latency in establishing connections and analyzing antenna usage compared to other solutions.
IoTRoam develops a scalable, minimal-configuration LoRaWAN roaming architecture.
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.
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.