IoT solution for smart water distribution networks based on a low-power wireless network, combined at the device-level: A case study-Reference-Cited by-同舟云学术

IoT solution for smart water distribution networks based on a low-power wireless network, combined at the device-level: A case study

Published:2023-07 Issue: Volume:22 Page:100746
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

García-Martín Juan Pablo^ORCID,Torralba Antonio,Hidalgo-Fort Eduardo,Daza David,González-Carvajal Ramón

Funder

España Ministerio de Ciencia e Innovación

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference87 articles.

1. An IOT based smart metering development for energy management system;Priyadharshini;Int. J. Electric. Comput. Eng.,2019

2. Smart energy metering using LPWAN IoT technology;Jain,2018

3. Solar photovoltaic-based smart metering system;Tajwar,2021

4. Wireless middleware solutions for smart water metering;Alvisi;Sensors,2019

5. A comparative study of lorawan, sigfox, and nb-iot for smart water grid;Lalle,2019

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