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JMAC协议:一种用于LoRa的跨层多跳协议。

JMAC Protocol: A Cross-Layer Multi-Hop Protocol for LoRa.

作者信息

López Escobar Juan José, Gil-Castiñeira Felipe, Díaz Redondo Rebeca P

机构信息

AttlanTTIC Research Center, University of Vigo, 36310 Vigo, Spain.

出版信息

Sensors (Basel). 2020 Dec 2;20(23):6893. doi: 10.3390/s20236893.

DOI:10.3390/s20236893
PMID:33276558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7730183/
Abstract

The emergence of Low-Power Wide-Area Network (LPWAN) technologies allowed the development of revolutionary Internet Of Things (IoT) applications covering large areas with thousands of devices. However, connectivity may be a challenge for non-line-of-sight indoor operation or for areas without good coverage. Technologies such as LoRa and Sigfox allow connectivity for up to 50,000 devices per cell, several devices that may be exceeded in many scenarios. To deal with these problems, this paper introduces a new multi-hop protocol, called JMAC, designed for improving long range wireless communication networks that may support monitoring in scenarios such smart cities or Industry 4.0. JMAC uses the LoRa radio technology to keep low consumption and extend coverage area, and exploits the potential mesh behaviour of wireless networks to improve coverage and increase the number of supported devices per cell. JMAC is based on predictive wake-up to reach long lifetime on sensor devices. Our proposal was validated using the OMNeT++ simulator to analyze how it performs under different conditions with promising results.

摘要

低功耗广域网(LPWAN)技术的出现推动了具有革命性的物联网(IoT)应用的发展,这些应用可覆盖大面积区域,连接数千台设备。然而,对于非视距室内操作或覆盖不佳的区域,连接可能是一项挑战。诸如LoRa和Sigfox之类的技术允许每个小区连接多达50,000台设备,在许多情况下,这个数量可能会被突破。为了解决这些问题,本文引入了一种名为JMAC的新型多跳协议,该协议旨在改进长距离无线通信网络,以支持诸如智慧城市或工业4.0等场景中的监测。JMAC使用LoRa无线电技术来保持低功耗并扩大覆盖范围,并利用无线网络潜在的网状行为来改善覆盖范围并增加每个小区支持的设备数量。JMAC基于预测唤醒技术,以使传感器设备具有较长的使用寿命。我们的提议通过使用OMNeT++模拟器进行了验证,以分析其在不同条件下的性能,结果令人满意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/f6f48d3dc7b4/sensors-20-06893-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/e1601472fe7c/sensors-20-06893-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/eeae796eeb80/sensors-20-06893-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/2b071983c8c9/sensors-20-06893-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/c1b8f1f77a62/sensors-20-06893-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/81ad89edb88e/sensors-20-06893-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/65aef20e0f75/sensors-20-06893-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/a506abf1df2b/sensors-20-06893-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/e88552cd9f32/sensors-20-06893-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/307177a5176e/sensors-20-06893-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/6e3e543b6b25/sensors-20-06893-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/f6f48d3dc7b4/sensors-20-06893-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/e1601472fe7c/sensors-20-06893-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/eeae796eeb80/sensors-20-06893-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/2b071983c8c9/sensors-20-06893-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/c1b8f1f77a62/sensors-20-06893-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/81ad89edb88e/sensors-20-06893-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/65aef20e0f75/sensors-20-06893-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/a506abf1df2b/sensors-20-06893-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/e88552cd9f32/sensors-20-06893-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/307177a5176e/sensors-20-06893-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/6e3e543b6b25/sensors-20-06893-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e620/7730183/f6f48d3dc7b4/sensors-20-06893-g011.jpg

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