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基于网络实时通信的无人机物联网与严格时间敏感性:案例研究

Web Real-Time Communications-Based Unmanned-Aerial-Vehicle-Borne Internet of Things and Stringent Time Sensitivity: A Case Study.

作者信息

Chodorek Agnieszka, Chodorek Robert Ryszard

机构信息

Department of Applied Computer Science, Faculty of Electrical Engineering, Automatic Control and Computer Science, Kielce University of Technology, Al. 1000-lecia P.P. 7, 25-314 Kielce, Poland.

Institute of Telecommunications, Faculty of Computer Science, Electronics and Telecommunications, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.

出版信息

Sensors (Basel). 2025 Jan 17;25(2):524. doi: 10.3390/s25020524.

DOI:10.3390/s25020524
PMID:39860897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11769268/
Abstract

The currently observed development of time-sensitive applications also affects wireless communication with the IoT carried by UAVs. Although research on wireless low-latency networks has matured, there are still issues to solve at the transport layer. Since there is a general agreement that classical transport solutions are not able to achieve end-to-end delays in the single-digit millisecond range, in this paper, the use of WebRTC is proposed as a potential solution to this problem. This article examines UAV-borne WebRTC-based IoT in an outdoor environment. The results of field experiments conducted under various network conditions show that, in highly reliable networks, UAV and WebRTC-based IoT achieved stable end-to-end delays well below 10 ms during error-free air-to-ground transmissions, and below 10 ms in the immediate vicinity of the retransmitted packet. The significant advantage of the WebRTC data channel over the classic WebSocket is also demonstrated.

摘要

当前对时间敏感型应用的发展态势也影响着无人机承载的物联网的无线通信。尽管无线低延迟网络的研究已经成熟,但在传输层仍有问题有待解决。由于人们普遍认为传统的传输解决方案无法实现个位数毫秒范围内的端到端延迟,因此本文提出使用WebRTC作为解决该问题的潜在方案。本文研究了户外环境中基于无人机搭载WebRTC的物联网。在各种网络条件下进行的现场实验结果表明,在高度可靠的网络中,基于无人机和WebRTC的物联网在无差错的空对地传输期间实现了远低于10毫秒的稳定端到端延迟,在重传数据包附近也低于10毫秒。还展示了WebRTC数据通道相对于传统WebSocket的显著优势。

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本文引用的文献

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TwinPort: 5G drone-assisted data collection with digital twin for smart seaports.双端口:用于智能海港的、借助数字孪生和5G无人机辅助的数据采集。
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Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends.
无人机:实际情况、应用、开放挑战、安全问题及未来趋势。
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The Prototype Monitoring System for Pollution Sensing and Online Visualization with the Use of a UAV and a WebRTC-Based Platform.基于无人机和 WebRTC 平台的污染感应与在线可视化原型监测系统。
Sensors (Basel). 2022 Feb 17;22(4):1578. doi: 10.3390/s22041578.
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