Evidence map›Paper›PMID 36679810›Full record

ArticleSensors (Basel, Switzerland)2023

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment.

Huaiyuan Yang, Hua Zhou, Zhenyu Liu, Xiaofan Deng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Huaiyuan YangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Hua ZhouCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.
Zhenyu LiuSchool of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang 330000, China.
Xiaofan DengCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, China.

Funding

Southwest Forestry University 110822150Southwest Forestry University 111022001Southwest Forestry University 194309
6 · The paper itself

Abstract

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.

Indexed as

6G environmentembedded cloud computingenergy optimizationmonitoring systemwireless sensor networkZigBee technology

Identifiers

PMID36679810
PMCPMC9864004

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.