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WSN IoT Ambient Environmental Monitoring System
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0003-2162-6996
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.
2020 (English)In: 2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), IEEE , 2020, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Environmental monitoring plays a very important role for the health of people and the quality of life in daily places such as home, schools, offices and industries. The temperature, humidity and carbon dioxide concentration levels have to be limited in these environments. In this work, a system web-based environmental monitoring based on WSN technology is presented. Sensors, repeaters and a gateway form the WSN IoT system, where user-friendly interfaces are used to decrease the complexity of the set up. The control of the WSN and the gateway, and the data monitoring can be done through the web server running over the gateway along the software that provides user-friendly interfaces. The data visualization is displayed on a live data dashboard. The system is tested in a university and two industry environments.

Place, publisher, year, edition, pages
IEEE , 2020. p. 1-4
Keywords [en]
Wireless sensor networks, Logic gates, Radio frequency, Sensors, Protocols, Internet, Transceivers, WSN, IoT, air quality, Web applications
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-34620DOI: 10.1109/IDAACS-SWS50031.2020.9297085Scopus ID: 2-s2.0-85099785809ISBN: 978-1-7281-9960-3 (electronic)OAI: oai:DiVA.org:hig-34620DiVA, id: diva2:1513300
Conference
2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS)
Available from: 2020-12-29 Created: 2020-12-29 Last updated: 2024-05-21Bibliographically approved

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Bautista Gonzalez, OscarChilo, José

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf