
A Rate Adaptation Scheme with Enhanced Loss Differentiation for LoRaWAN Communications
Author(s) -
Hui Xie,
DaiWei Huang,
Yi Long,
QiuHua Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/3/032064
Subject(s) - goodput , computer science , network packet , channel (broadcasting) , packet loss , collision , adaptation (eye) , computer network , transmission (telecommunications) , attenuation , scheme (mathematics) , real time computing , wireless , telecommunications , mathematics , computer security , throughput , mathematical analysis , physics , optics
As an emerging technology for long-range communication, LoRaWAN provides several data rates for transmission and the choice of data rates will affect the communication distance and the link quality. So how to allocate this communication resource in a network with a large amount of devices is a challenge. In this paper, we classify the reasons of packets loss as channel attenuation and data collision and then propose a rate adaptation scheme with enhanced loss differentiation. The proposed scheme can estimate two packet loss rates according to the channel attenuation probability model and data collision probability model respectively. And the selection of communication data rate is given by the balance of probabilities. Simulation results indicate that the proposed scheme is better than ADR and EXPLoRa on Data Extraction Rate and Goodput.