MADERE: Mobile Adaptive Datarate for LoRaWAN

Anaïs Durand (1) , Nancy El Rachkidy (1) , Alexandre Guitton (1, 2)

1 LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
2 AGORA - AlGorithmes et Optimisation pour Réseaux Autonomes

Low-power wide area networks (LPWANs) are being increasingly used in Internet of Things applications, including smart city and environmental monitoring, as they enable communications from low-power end-devices to distant gateways. LoRaWAN is the most common protocol for LPWANs, and is able to automatically tradeoff throughput and reliability thanks to an algorithm called Adaptive DataRate (ADR). However, the LoRaWAN standard imposes mobile nodes to disable the ADR. In this paper, we propose a protocol called MADERE (for Mobile ADR) that attempts to adapt the LoRaWAN parameters for mobile end-devices. We show that MADERE performs well compared to the few existing algorithms from the literature, with limited overhead.

Domaines: Réseaux et télécommunications [cs.NI]

Anaïs Durand, Nancy El Rachkidy, Alexandre Guitton. MADERE: Mobile Adaptive Datarate for LoRaWAN. IEEE Wireless Communications and Networking Conference, Mar 2023, Glasgow, United Kingdom. ⟨hal-03896512⟩