TREMA: A traffic-aware energy efficient MAC protocol to adapt the LoRaWAN capacity - Archive ouverte HAL Access content directly
Conference Papers Year : 2021

TREMA: A traffic-aware energy efficient MAC protocol to adapt the LoRaWAN capacity

(1) , (1) , (1) , (1)
1

Abstract

The emerging LoRa technology is quickly becoming the de facto standard for Low Power Wide Area Networks upon unlicensed frequencies. Herein, the LoRaWAN medium access sets up a lightweight network architecture able to connect very low power devices to the Internet. Traffic flows in such deployments can be variable, or even unpredictable, depending on the needs of the monitoring applications using the network. As an example, to track air quality in cities, some applications can trigger an increased need of fine grained pollution data during the daytime. However, the network capacity is currently limited by the default LoRaWAN pure ALOHA access scheme. A time synchronized scheduled access would considerably improve the achievable throughput, at the cost of an increased power consumption for synchronization duties. In such a context, this contribution introduces the traffic-aware energy efficient Medium Access Control (TREMA) protocol for LoRa networks, capable of seamlessly switching between asynchronous and synchronous schemes according to the probed traffic variations. TREMA ultimately increases the maximum capacity of LoRa deployments while always selecting the most energy efficient access scheme.
Fichier principal
Vignette du fichier
manuscript.pdf (439.88 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02998586 , version 1 (10-11-2020)
hal-02998586 , version 2 (08-03-2021)
hal-02998586 , version 3 (30-04-2021)

Identifiers

Cite

Laurent Chasserat, Nicola Accettura, Balakrishna Prabhu, Pascal Berthou. TREMA: A traffic-aware energy efficient MAC protocol to adapt the LoRaWAN capacity. 2021 International Conference on Computer Communications and Networks (ICCCN), Jul 2021, Athens, Greece. ⟨10.1109/ICCCN52240.2021.9522147⟩. ⟨hal-02998586v3⟩
64 View
3 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More