Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment Article Swipe
Huaiyuan Yang
,
Hua Zhou
,
Zhenyu Liu
,
Xiaofan Deng
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23021013
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s23021013
With the construction and development of modern and smart cities, people’s lives are becoming more intelligent and diversified. Surveillance systems increasingly play an active role in target tracking, vehicle identification, traffic management, etc. In the 6G network environment, facing the massive and large-scale data information in the monitoring system, it is difficult for the ordinary processing platform to meet this computing demand. This paper provides a data governance solution based on a 6G environment. The shortcomings of critical technologies in wireless sensor networks are addressed through ZigBee energy optimization to address the shortage of energy supply and high energy consumption in the practical application of wireless sensor networks. At the same time, this improved routing algorithm is combined with embedded cloud computing to optimize the monitoring system and achieve efficient data processing. The ZigBee-optimized wireless sensor network consumes less energy in practice and also increases the service life of the network, as proven by research and experiments. This optimized data monitoring system ensures data security and reliability.
Related Topics
Concepts
Wireless sensor network
Cloud computing
Computer science
Energy consumption
Reliability (semiconductor)
Embedded system
Key distribution in wireless sensor networks
Real-time computing
Wireless
Computer network
Wireless network
Engineering
Power (physics)
Telecommunications
Electrical engineering
Quantum mechanics
Physics
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23021013
- https://www.mdpi.com/1424-8220/23/2/1013/pdf?version=1673844181
- OA Status
- gold
- Cited By
- 14
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4316369245
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4316369245Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s23021013Digital Object Identifier
- Title
-
Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G EnvironmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-16Full publication date if available
- Authors
-
Huaiyuan Yang, Hua Zhou, Zhenyu Liu, Xiaofan DengList of authors in order
- Landing page
-
https://doi.org/10.3390/s23021013Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/23/2/1013/pdf?version=1673844181Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/23/2/1013/pdf?version=1673844181Direct OA link when available
- Concepts
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Wireless sensor network, Cloud computing, Computer science, Energy consumption, Reliability (semiconductor), Embedded system, Key distribution in wireless sensor networks, Real-time computing, Wireless, Computer network, Wireless network, Engineering, Power (physics), Telecommunications, Electrical engineering, Quantum mechanics, Physics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 5, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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