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Journal Article DG-LoRa: Deterministic Group Acknowledgment Transmissions in LoRa Networks for Industrial IoT Applications
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Authors
Junhee Lee, Young Seog Yoon, Hyun Woo Oh, Kwang Roh Park
Issue Date
2021-02
Citation
Sensors, v.21, no.4, pp.1-18
ISSN
1424-8220
Publisher
MDPI
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.3390/s21041444
Abstract
In this paper, we propose a novel MAC protocol, called DG-LoRa, for improving scalability in low power wide area networks. DG-LoRa is backward compatible with legacy LoRaWAN and adds new features, such as group acknowledgment transmissions in the time-synchronized frame structure that supports determinism on channel access. In DG-LoRa, the number of responses to data frames that are transmitted from end devices is maximized by allocating the spreading factor and timeslot in the frame structure. We evaluate the performance of DG-LoRa using the Monte-Carlo simulation and then compare it with the performance of legacy LoRaWAN in terms of data drop rate and the number of retransmissions. Our numerical results show that DG-LoRa supports approximately five times more connections to the LoRa network satisfying a 5% data drop rate. Also, it is observed that DG-LoRa enables low overhead by reducing the number of data frame retransmissions.
KSP Keywords
Backward Compatible, Channel Access(CA), Data drop rate, Data frame, Frame structure, IOT applications, LoRa networks, Low Power Wide Area Network, MAC protocol, Monte-Carlo simulation(MCS), Numerical results
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY