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An Energy Efficient, Long Range Sensor System for Real-Time Environment Monitoring
Le Quy Don Technical University, Vietnam.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. Le Quy Don Technical University, Vietnam.ORCID iD: 0000-0001-8109-1685
Le Quy Don Technical University, Vietnam.
Le Quy Don Technical University, Vietnam.
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2023 (English)In: Lecture Notes on Data Engineering and Communications Technologies, Springer Science and Business Media Deutschland GmbH , 2023, p. 823-830Chapter in book (Refereed)
Abstract [en]

Vietnam is among the top countries in the world at risk of natural hazards so that efficient real-time environment monitoring is becoming essential. The continuous development in information and communication technology is inspiring the development of the smart monitoring systems for environmental management and protection. This paper presents an energy efficient, long range sensor system for Internet of Things (IoT)-based smart environment monitoring and early warning. The proposed system combines the novel energy efficient temperature. Beat sensors integrated with the LoRaWAN communication protocol and web interface. The experimental results are achieved to clarify the efficiency of the proposed sensor system and its potential applications in the real systems.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2023. p. 823-830
Series
Lecture Notes on Data Engineering and Communications Technologies, ISSN 23674512 ; 141
Keywords [en]
Beat sensor, Drought monitoring, Internet of things, Continuous time systems, Energy efficiency, Environmental management, Environmental technology, Information management, Monitoring, Continuous development, Energy efficient, Environment monitoring, Natural hazard, Range sensors, Real-time environment, Sensor systems, Viet Nam
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-60546DOI: 10.1007/978-981-19-3035-5_61Scopus ID: 2-s2.0-85140239848OAI: oai:DiVA.org:mdh-60546DiVA, id: diva2:1708218
Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2022-11-03Bibliographically approved

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Dao, Van-Lan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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