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动态LoRa网络的多跳实时LoRa协议设计与实现

Design and Implementation of a Multi-Hop Real-Time LoRa Protocol for Dynamic LoRa Networks.

作者信息

Tran Huu Phi, Jung Woo-Sung, Yoo Dae-Seung, Oh Hoon

机构信息

Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea.

Electronics and Telecommunications Research Institute, Daejeon 305-350, Korea.

出版信息

Sensors (Basel). 2022 May 5;22(9):3518. doi: 10.3390/s22093518.

Abstract

Recently, LoRa (Long Range) technology has been drawing attention in various applications due to its long communication range and high link reliability. However, in industrial environments, these advantages are often compromised by factors such as node mobility, signal attenuation due to various obstacles, and link instability due to external signal interference. In this paper, we propose a new multi-hop LoRa protocol that can provide high reliability for data transmission by overcoming those factors in dynamic LoRa networks. This study extends the previously proposed two-hop real-time LoRa (Two-Hop RT-LoRa) protocol to address technical aspects of dynamic multi-hop networks, such as automatic configuration of multi-hop LoRa networks, dynamic topology management, and updating of real-time slot schedules. It is shown by simulation that the proposed protocol achieves high reliability of over 97% for mobile nodes and generates low control overhead in topology management and schedule updates. The protocol was also evaluated in various campus deployment scenarios. According to experiments, it could achieve high packet delivery rates of over 97% and 95%, respectively, for 1-hop nodes and 2-hop nodes against node mobility.

摘要

近年来,LoRa(远距离)技术因其长通信距离和高链路可靠性在各种应用中受到关注。然而,在工业环境中,这些优势常常受到节点移动性、各种障碍物导致的信号衰减以及外部信号干扰引起的链路不稳定等因素的影响。在本文中,我们提出了一种新的多跳LoRa协议,该协议可以通过克服动态LoRa网络中的这些因素为数据传输提供高可靠性。本研究扩展了先前提出的两跳实时LoRa(Two-Hop RT-LoRa)协议,以解决动态多跳网络的技术问题,如多跳LoRa网络的自动配置、动态拓扑管理和实时时隙调度的更新。仿真结果表明,所提出的协议对于移动节点实现了超过97%的高可靠性,并且在拓扑管理和调度更新中产生了较低的控制开销。该协议还在各种校园部署场景中进行了评估。根据实验,对于1跳节点和2跳节点,针对节点移动性,它分别可以实现超过97%和95%的高分组交付率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fcd4/9102278/5a3c57c4969c/sensors-22-03518-g001.jpg

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