RETRACTED: Energy Saving Configuration of Embedded Sensor Transfer Nodes in the LOT for Dust Movement Monitoring in an Atmospheric Environment from the Health Perspective
This record is marked as retracted by the source. Review the publisher’s notice before using its findings.
Source abstract
Abstract
ABSTRACT Following an investigation undertaken by the publisher, we have determined that this paper was accepted on the basis of a compromised peer review process. We hereby retract the paper. The corresponding author has been notified of the retraction. The retraction statement can be found here: https://doi.org/10.1520/JTE20269997. In order to reduce the energy consumption of sensor transfer nodes in atmospheric environment monitoring, the energy-saving configuration of embedded sensor transfer nodes in the Internet of Things (IOT) for dust movement monitoring in the atmospheric environment is proposed. Firstly, the wireless sensor network technology is analyzed. Combined with the characteristics of data transmission in the process of dust movement monitoring in the atmospheric environment, the energy-saving configuration of an embedded sensor transfer node in the Internet of Things is designed, and sleep scheduling is introduced into the data transmission module. According to the spatial correlation of dust movement in the atmosphere, different state areas are divided, and the optimal node is selected as the representative node of the monitoring area data transmission to reduce energy consumption of nodes. The simulation results show that the time of dead nodes is about 150 rounds, and the energy consumption is kept at 0.0025 J/round, and it is basically stable without obvious energy consumption fluctuation. It realizes the energy saving of specialized nodes in sensors and improves the operation life of sensor networks. It has certain research value.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Air Quality Monitoring and Forecasting · Energy Efficient Wireless Sensor Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Intelligent Systems Science and Engineering, Harbin Engineering University 1 , Harbin 150000 , ; and , Harbin 150000 ,
School of Measurement and Communication Engineering, Harbin University of Science and Technology 1 , Harbin 150000 , ; and , Harbin 150000 ,
College of Intelligent Systems Science and Engineering, Harbin Engineering University 2 , Harbin 150000 ,
School of Measurement and Communication Engineering, Harbin University of Science and Technology 3 , Harbin 150000 ,
References (18)
Show source-provided references
1. Effects of the Eastern Carpathians on Atmospheric Circulations and Precipitation Chemistry from 2006 to 2016 at Four Monitoring Stations (Eastern Carpathians, Romania)10.1016/j.atmosres.2018.08.009 ↗
2. Architecture and Implementation of Forest Environment Monitoring System Based on Lora Internet of Things
3. Design of Internet of Things Monitoring System for Atmospheric Environment
4. Correction to: Integration of Geographic and Hierarchical Routing Protocols for Energy Saving in Wireless Sensor Networks with Mobile Sink10.1007/s11276-019-02066-8 ↗
5. Energy-Saving Routing Metric for Aggregate Low-Rate Wireless Sensor Networks10.1007/s11276-019-02033-3 ↗
6. Corona Based Node Distribution Scheme Targeting Energy Balancing in Wireless Sensor Networks for the Sensors Having Limited Sensing Range10.1007/s11276-018-1834-9 ↗
7. Improved Low Energy Adaptive Clustering Hierarchy and Its Optimum Cluster Head Selection10.1080/00207217.2019.1661023 ↗
8. Zone-Based Energy Aware Data Collection Protocol for WSNs10.1587/transcom.2017EBP3133 ↗
9. POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors10.1109/TCYB.2017.2727981 ↗
10. Energy Balanced Data Gathering Approaches in Wireless Sensor Networks Using Mixed-Hop Communication10.1007/s00607-018-0597-6 ↗
11. Algorithm for the Comparison of Human Periodic Movements Using Wearable Devices10.1155/2021/8729108 ↗
12. LiMCA: An Optimal Clustering Algorithm for Lifetime Maximization of Internet of Things10.1007/s11276-018-1741-0 ↗
13. Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram10.1155/2021/7901310 ↗
14. EEM-EHWSN: Enhanced Energy Management Scheme in Energy Harvesting Wireless Sensor Networks10.1007/s11276-018-1701-8 ↗
15. Spectrum and Energy Efficient Multiple Access for Detection in Wireless Sensor Networks10.1109/TSP.2018.2873512 ↗
16. Effective Clustering Protocol Based on Network Division for Heterogeneous Wireless Sensor Networks10.1007/s00607-019-00757-w ↗
17. Current-Fed Bidirectional DC-DC Converter Topology for Wireless Charging System Electrical Vehicle Applications10.1155/2021/1144453 ↗
18. An Energy-Aware Clustering and Two-Level Routing Method in Wireless Sensor Networks10.1007/s00607-020-00817-6 ↗