Wireless Sensor Network Based Gas Monitoring System Utilizing ZigBee Technology Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.37256/jeee.2220233418
This paper presents a ZigBee-based wireless network gas monitoring system, utilizing ZigBee technology to enable reliable and low-cost communication. The system leverages small sensor nodes and ZigBee protocols to collect data on physical phenomena, particularly gas levels, in various environments. The network's low-power consumption and extended range capabilities allow for effective gas sensing within a radius of up to 300 meters. While interoperability with devices from different manufacturers remains a limitation, the system showcases the versatility of ZigBee technology in diverse fields. The study evaluates the system's performance through simulation and experimentation, addresses potential challenges, and proposes future developments to enhance ZigBee-based wireless network gas monitoring systems, offering improved remote monitoring and manipulation capabilities. Furthermore, our research contributes to the advancement of wireless sensor network technology by demonstrating the practicality of ZigBee in gas monitoring. The findings from our experiments and simulations provide valuable insights into the optimization of such systems, which can have far-reaching impacts on environmental monitoring, safety, and industrial processes. In addition, our proposed enhancements pave the way for more reliable and efficient remote monitoring and control, offering substantial benefits for various industries, including environmental management, industrial automation, and beyond.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.37256/jeee.2220233418
- https://ojs.wiserpub.com/index.php/JEEE/article/download/3418/1681
- OA Status
- diamond
- Cited By
- 5
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387800973
Raw OpenAlex JSON
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https://openalex.org/W4387800973Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.37256/jeee.2220233418Digital Object Identifier
- Title
-
Wireless Sensor Network Based Gas Monitoring System Utilizing ZigBee TechnologyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-20Full publication date if available
- Authors
-
Alberto Coboi, Minh Tuấn Nguyễn, Kien T. La, Thang C. VuList of authors in order
- Landing page
-
https://doi.org/10.37256/jeee.2220233418Publisher landing page
- PDF URL
-
https://ojs.wiserpub.com/index.php/JEEE/article/download/3418/1681Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://ojs.wiserpub.com/index.php/JEEE/article/download/3418/1681Direct OA link when available
- Concepts
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NeuRFon, Wireless sensor network, Interoperability, Wireless, Automation, Embedded system, Computer science, Wireless network, Environmental monitoring, Key distribution in wireless sensor networks, Engineering, Computer network, Telecommunications, Environmental engineering, Operating system, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.enhance | 100 |
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| abstract_inverted_index.insights | 144 |
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| abstract_inverted_index.offering | 107, 180 |
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| abstract_inverted_index.network's | 41 |
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| abstract_inverted_index.industrial | 161, 189 |
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| abstract_inverted_index.processes. | 162 |
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| abstract_inverted_index.automation, | 190 |
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| abstract_inverted_index.industries, | 185 |
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| abstract_inverted_index.enhancements | 167 |
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| abstract_inverted_index.interoperability | 62 |
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| institutions_distinct_count | 4 |
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| citation_normalized_percentile.is_in_top_10_percent | False |