城市环境中智能水网从无线电到管道内声学通信:设计挑战和未来趋势

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-04 DOI:10.3390/info14100544
Markeljan Fishta, Erica Raviola, Franco Fiori
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引用次数: 0

摘要

水资源的智能管理是当今社会日益重要的课题。在这种情况下,智能水网(swg)的范例旨在通过部署在供水基础设施上的智能节点网络进行持续监测。这有助于持续评估水质和管道基础设施的健康状况,从而能够及早发现泄漏和水污染。基于声波的通信技术作为一种可行的网络节点间通信技术而兴起。这种技术可以取代swg中的传统无线网络,因为声学通道本质上嵌入在供水网络中。然而,充液管道是最具挑战性的数据通信介质之一。现有的工作提出管道内声通信系统是有前途的,但不同的实现和它们的性能之间的比较还没有报道。本文综述了现有的声学通信网络在实际大型城市供水网络中的应用。为此,本工作概述了现有作品的特点、趋势和设计挑战,为未来的研究提供了指导。
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From Radio to In-Pipe Acoustic Communication for Smart Water Networks in Urban Environments: Design Challenges and Future Trends
The smart management of water resources is an increasingly important topic in today’s society. In this context, the paradigm of Smart Water Grids (SWGs) aims at a constant monitoring through a network of smart nodes deployed over the water distribution infrastructure. This facilitates a continuous assessment of water quality and the state of health of the pipeline infrastructure, enabling early detection of leaks and water contamination. Acoustic-wave-based technology has arisen as a viable communication technique among the nodes of the network. Such technology can be suitable for replacing traditional wireless networks in SWGs, as the acoustic channel is intrinsically embedded in the water supply network. However, the fluid-filled pipe is one of the most challenging media for data communication. Existing works proposing in-pipe acoustic communication systems are promising, but a comparison between the different implementations and their performance has not yet been reported. This paper reviews existing works dealing with acoustic-based communication networks in real large-scale urban water supply networks. For this purpose, an overview of the characteristics, trends and design challenges of existing works is provided in the present work as a guideline for future research.
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
期刊最新文献
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