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DG-LoRa：用于工业物联网应用的LoRa网络中的确定性组确认传输

DG-LoRa: Deterministic Group Acknowledgment Transmissions in LoRa Networks for Industrial IoT Applications.

作者信息

Lee Junhee, Yoon Young Seog, Oh Hyun Woo, Park Kwang Roh

机构信息

Industrial IoT Intelligence Research Department, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea.

出版信息

Sensors (Basel). 2021 Feb 19;21(4):1444. doi: 10.3390/s21041444.

DOI:10.3390/s21041444
PMID:33669587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7922967/
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.

摘要

在本文中，我们提出了一种名为DG-LoRa的新型介质访问控制（MAC）协议，用于提高低功耗广域网中的可扩展性。DG-LoRa与传统的LoRaWAN向后兼容，并添加了新特性，比如在支持信道访问确定性的时间同步帧结构中进行组确认传输。在DG-LoRa中，通过在帧结构中分配扩频因子和时隙，从终端设备传输的数据帧的响应数量得以最大化。我们使用蒙特卡洛模拟评估DG-LoRa的性能，然后在数据丢弃率和重传次数方面将其与传统LoRaWAN的性能进行比较。我们的数值结果表明，DG-LoRa在满足5%数据丢弃率的情况下，支持连接到LoRa网络的数量大约是传统LoRaWAN的五倍。此外，还观察到DG-LoRa通过减少数据帧重传次数实现了低开销。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/4356df1c718d/sensors-21-01444-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/94accbd26eea/sensors-21-01444-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/7fcafd56d603/sensors-21-01444-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/151b8eaf4b71/sensors-21-01444-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/4356df1c718d/sensors-21-01444-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/0b813c893d5e/sensors-21-01444-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/20919943b06e/sensors-21-01444-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/e7e05eb891b4/sensors-21-01444-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/17d4252048b5/sensors-21-01444-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/2ced9236adb8/sensors-21-01444-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/ca848fd2803f/sensors-21-01444-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/94accbd26eea/sensors-21-01444-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/2b0248879f32/sensors-21-01444-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/2424aedef8b0/sensors-21-01444-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/7fcafd56d603/sensors-21-01444-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/151b8eaf4b71/sensors-21-01444-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a885/7922967/4356df1c718d/sensors-21-01444-g012.jpg

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本文引用的文献

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