• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

LoRa数据包接收性能的实验评估

Experimental Evaluation of the Packet Reception Performance of LoRa.

作者信息

Guo Qingjie, Yang Fengxu, Wei Jianming

机构信息

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2021 Feb 4;21(4):1071. doi: 10.3390/s21041071.

DOI:10.3390/s21041071
PMID:33557384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7916015/
Abstract

LoRa technology is currently one of the most popular Internet of Things (IoT) technologies. A substantial number of LoRa devices have been applied in a wide variety of real-world scenarios, and developers can adjust the packet reception performance of LoRa through physical layer parameter configuration to meet the requirements. However, since the important details of the relationship between the physical layer parameters and the packet reception performance of LoRa remain unknown, it is a challenge to choose the appropriate parameter configuration to meet the requirements of the scenarios. Moreover, with the increase in application scenarios, the requirements for energy consumption become increasingly high. Therefore, it is also a challenge to know how to configure the parameters to maximize the energy efficiency while maintaining a high data rate. In this work, a complex evaluation experiment on the communication capability under a negative Signal to Noise Ratio is presented, and the specific details of the relationship between physical layer parameters and the packet reception performance of LoRa are clarified. Furthermore, we study the impact of the packet length on the packet reception performance of LoRa, and the experimental results show that when there is a large amount of data to be transmitted, it is better to choose long packets instead of short packets. Finally, considering the influence of physical layer parameters and the packet length on the packet reception performance of LoRa, the optimal parameter combination is explored, so as to propose a transmission scheme with a balanced reliability, delay, and energy consumption. This scheme is the first to consider the physical layer parameters and packet length together to study the communication transmission scheme, which reduces the communication time by 50% compared with the traditional transmission scheme and greatly reduces the energy consumption.

摘要

LoRa技术是目前最流行的物联网(IoT)技术之一。大量的LoRa设备已应用于各种现实世界场景中,开发人员可以通过物理层参数配置来调整LoRa的数据包接收性能,以满足需求。然而,由于LoRa物理层参数与数据包接收性能之间关系的重要细节仍不明确,选择合适的参数配置以满足场景需求是一项挑战。此外,随着应用场景的增加,对能耗的要求越来越高。因此,如何在保持高数据速率的同时配置参数以最大化能源效率也是一项挑战。在这项工作中,提出了一项在负信噪比下对通信能力进行的复杂评估实验,并阐明了物理层参数与LoRa数据包接收性能之间关系的具体细节。此外,我们研究了数据包长度对LoRa数据包接收性能的影响,实验结果表明,当有大量数据要传输时,最好选择长数据包而不是短数据包。最后,考虑到物理层参数和数据包长度对LoRa数据包接收性能的影响,探索了最优参数组合,从而提出了一种可靠性、延迟和能耗平衡的传输方案。该方案首次将物理层参数和数据包长度结合起来研究通信传输方案,与传统传输方案相比,通信时间减少了50%,并大大降低了能耗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/cdd19f16c56e/sensors-21-01071-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/02664ca18722/sensors-21-01071-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/a259db75a044/sensors-21-01071-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/f454e0f79956/sensors-21-01071-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/72d1f7ca8832/sensors-21-01071-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/1780804fba68/sensors-21-01071-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/659458b68883/sensors-21-01071-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/6f525f5ecd91/sensors-21-01071-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/6dff6cc79dbe/sensors-21-01071-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/d416d3f29617/sensors-21-01071-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/0c054b87c52c/sensors-21-01071-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/3cb54f9839a6/sensors-21-01071-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/b7e3fa071ea5/sensors-21-01071-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/cdd19f16c56e/sensors-21-01071-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/02664ca18722/sensors-21-01071-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/a259db75a044/sensors-21-01071-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/f454e0f79956/sensors-21-01071-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/72d1f7ca8832/sensors-21-01071-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/1780804fba68/sensors-21-01071-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/659458b68883/sensors-21-01071-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/6f525f5ecd91/sensors-21-01071-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/6dff6cc79dbe/sensors-21-01071-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/d416d3f29617/sensors-21-01071-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/0c054b87c52c/sensors-21-01071-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/3cb54f9839a6/sensors-21-01071-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/b7e3fa071ea5/sensors-21-01071-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/025e/7916015/cdd19f16c56e/sensors-21-01071-g013a.jpg

相似文献

1
Experimental Evaluation of the Packet Reception Performance of LoRa.LoRa数据包接收性能的实验评估
Sensors (Basel). 2021 Feb 4;21(4):1071. doi: 10.3390/s21041071.
2
Overcoming Limitations of LoRa Physical Layer in Image Transmission.克服 LoRa 物理层在图像传输中的局限性。
Sensors (Basel). 2018 Sep 27;18(10):3257. doi: 10.3390/s18103257.
3
LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation.基于软件定义无线电技术的LoRa流量生成器用于LoRa调制正交性分析:实证与实验评估
Sensors (Basel). 2020 Jul 24;20(15):4123. doi: 10.3390/s20154123.
4
Performance Evaluations of LoRa Wireless Communication in Building Environments.建筑物环境中LoRa无线通信的性能评估
Sensors (Basel). 2020 Jul 9;20(14):3828. doi: 10.3390/s20143828.
5
On-Demand LoRa: Asynchronous TDMA for Energy Efficient and Low Latency Communication in IoT.按需 LoRa:物联网中节能和低延迟通信的异步 TDMA。
Sensors (Basel). 2018 Nov 1;18(11):3718. doi: 10.3390/s18113718.
6
Adaptive Algorithms for Batteryless LoRa-Based Sensors.适用于无电池LoRa传感器的自适应算法。
Sensors (Basel). 2023 Jul 21;23(14):6568. doi: 10.3390/s23146568.
7
Survey and Comparative Study of LoRa-Enabled Simulators for Internet of Things and Wireless Sensor Networks.物联网和无线传感器网络中基于 LoRa 的仿真器的调查与比较研究。
Sensors (Basel). 2022 Jul 25;22(15):5546. doi: 10.3390/s22155546.
8
Combinatorial MAB-Based Joint Channel and Spreading Factor Selection for LoRa Devices.基于组合多臂老虎机的LoRa设备联合信道与扩频因子选择
Sensors (Basel). 2023 Jul 26;23(15):6687. doi: 10.3390/s23156687.
9
SF-Partition-Based Clustering and Relaying Scheme for Resolving Near-Far Unfairness in IoT Multihop LoRa Networks.基于 SF 的分簇与中继方案,用于解决物联网多跳 LoRa 网络中的远近不公平问题。
Sensors (Basel). 2022 Nov 30;22(23):9332. doi: 10.3390/s22239332.
10
A Fair Channel Hopping Scheme for LoRa Networks with Multiple Single-Channel Gateways.一种适用于多单信道网关的 LoRa 网络公平信道跳频方案。
Sensors (Basel). 2022 Jul 14;22(14):5260. doi: 10.3390/s22145260.

引用本文的文献

1
IoT security approach based random distribution of communication frequency.基于通信频率随机分布的物联网安全方法。
MethodsX. 2025 Jun 25;15:103465. doi: 10.1016/j.mex.2025.103465. eCollection 2025 Dec.
2
Developing a Health Support System to Promote Care for the Elderly.开发一个促进老年人护理的健康支持系统。
Sensors (Basel). 2025 Jan 14;25(2):455. doi: 10.3390/s25020455.
3
A Wireless Network for Monitoring Pesticides in Groundwater: An Inclusive Approach for a Vulnerable Kenyan Population.地下水农药监测无线网络:肯尼亚弱势人群的包容性方法。

本文引用的文献

1
A Survey on Adaptive Data Rate Optimization in LoRaWAN: Recent Solutions and Major Challenges.LoRaWAN 自适应数据速率优化研究综述:最新解决方案和主要挑战
Sensors (Basel). 2020 Sep 5;20(18):5044. doi: 10.3390/s20185044.
2
LoRa Traffic Generator Based on Software Defined Radio Technology for LoRa Modulation Orthogonality Analysis: Empirical and Experimental Evaluation.基于软件定义无线电技术的LoRa流量生成器用于LoRa调制正交性分析:实证与实验评估
Sensors (Basel). 2020 Jul 24;20(15):4123. doi: 10.3390/s20154123.
3
Performance Evaluations of LoRa Wireless Communication in Building Environments.
Sensors (Basel). 2024 Jul 18;24(14):4665. doi: 10.3390/s24144665.
4
Towards Mass-Scale IoT with Energy-Autonomous LoRaWAN Sensor Nodes.迈向具备能量自主的LoRaWAN传感器节点的大规模物联网
Sensors (Basel). 2024 Jul 1;24(13):4279. doi: 10.3390/s24134279.
5
Evaluation of Correlation between Temperature of IoT Microcontroller Devices and Blockchain Energy Consumption in Wireless Sensor Networks.无线传感器网络中物联网微控制器设备温度与区块链能耗之间的相关性评估。
Sensors (Basel). 2023 Jul 10;23(14):6265. doi: 10.3390/s23146265.
6
A Reinforcement Learning Based Transmission Parameter Selection and Energy Management for Long Range Internet of Things.基于强化学习的远距离物联网传输参数选择和能量管理。
Sensors (Basel). 2022 Jul 28;22(15):5662. doi: 10.3390/s22155662.
7
Spectrum Based Power Management for Congested IoT Networks.用于拥塞物联网网络的基于频谱的功率管理
Sensors (Basel). 2021 Apr 10;21(8):2681. doi: 10.3390/s21082681.
建筑物环境中LoRa无线通信的性能评估
Sensors (Basel). 2020 Jul 9;20(14):3828. doi: 10.3390/s20143828.
4
Performance Evaluation of LoRa Considering Scenario Conditions.考虑场景条件的LoRa性能评估
Sensors (Basel). 2018 Mar 3;18(3):772. doi: 10.3390/s18030772.
5
Interference-Robust Transmission in Wireless Sensor Networks.无线传感器网络中的抗干扰传输
Sensors (Basel). 2016 Nov 14;16(11):1910. doi: 10.3390/s16111910.
6
A Study of LoRa: Long Range & Low Power Networks for the Internet of Things.LoRa研究:用于物联网的远距离低功耗网络
Sensors (Basel). 2016 Sep 9;16(9):1466. doi: 10.3390/s16091466.