Content area

Abstract

With the development of 5G technology and distributed computing, the Internet of Things (IoT) for electric power shows excellent potential in realizing efficient and secure energy management. The objective of this study is to investigate how 5G communication technology can be combined with distributed computing to enhance the performance of power IoT. This paper examines the power of IoT technology that integrates 5G communication and distributed computing. The study is designed to enhance the power system’s efficiency and security. Through experiments and simulations, this study utilizes 5G technology to optimize IoT communication while using distributed computing to enhance data processing. According to the results, the integrated system improves the data transfer rate by 50% and reduces the potential security risk by 25%. The conclusion demonstrates that combining 5G and distributed computing can significantly enhance the efficiency of power IoT, which is crucial for the construction of future smart grids.

Details

1009240
Title
Research on Power IoT Technology Integrating 5G Communication and Distributed Computing
Author
Chen, Zhiyong 1 

 College of Information Engineering, LiaoDong University, Dandong, Liaoning, 118000, China 
Volume
9
Issue
1
Publication year
2024
Publication date
2024
Publisher
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Place of publication
Beirut
Country of publication
Poland
Publication subject
e-ISSN
24448656
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2024-05-03
Milestone dates
2024-04-10 (Received); 2024-04-22 (Accepted)
Publication history
 
 
   First posting date
03 May 2024
ProQuest document ID
3191172418
Document URL
https://www.proquest.com/scholarly-journals/research-on-power-iot-technology-integrating-5g/docview/3191172418/se-2?accountid=208611
Copyright
© 2024. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-17
Database
ProQuest One Academic