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Optimization design of railway logistics center layout based on mobile cloud edge computing
With the development of the economy, the importance of railway freight transportation has become essential. The efficiency of a railway logistics center depends on the types, quantities, information exchange, and layout optimization. Edge collaboration technology can consider the advantages of cloud...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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PeerJ Inc.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280669/ https://www.ncbi.nlm.nih.gov/pubmed/37346721 http://dx.doi.org/10.7717/peerj-cs.1298 |
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author | Zhang, Xiaoling |
author_facet | Zhang, Xiaoling |
author_sort | Zhang, Xiaoling |
collection | PubMed |
description | With the development of the economy, the importance of railway freight transportation has become essential. The efficiency of a railway logistics center depends on the types, quantities, information exchange, and layout optimization. Edge collaboration technology can consider the advantages of cloud computing’s rich computing storage resources and low latency. It can also provide additional computing power and real-time requirements for intelligent railway logistics construction. However, the cloud-side collaboration technology will introduce the wireless communication delay between the mobile terminal and the edge computing server. We designed a two-tier unloading strategy algorithm and solved the optimization problem by determining the unloading decision of each task. The cost of every task is calculated in the onboard device calculation, vehicular edge computing (VEC), and cloud computing server calculation. Simulation results show that the proposed method can save about 40% time delay compared to other unloading strategies. |
format | Online Article Text |
id | pubmed-10280669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102806692023-06-21 Optimization design of railway logistics center layout based on mobile cloud edge computing Zhang, Xiaoling PeerJ Comput Sci Algorithms and Analysis of Algorithms With the development of the economy, the importance of railway freight transportation has become essential. The efficiency of a railway logistics center depends on the types, quantities, information exchange, and layout optimization. Edge collaboration technology can consider the advantages of cloud computing’s rich computing storage resources and low latency. It can also provide additional computing power and real-time requirements for intelligent railway logistics construction. However, the cloud-side collaboration technology will introduce the wireless communication delay between the mobile terminal and the edge computing server. We designed a two-tier unloading strategy algorithm and solved the optimization problem by determining the unloading decision of each task. The cost of every task is calculated in the onboard device calculation, vehicular edge computing (VEC), and cloud computing server calculation. Simulation results show that the proposed method can save about 40% time delay compared to other unloading strategies. PeerJ Inc. 2023-04-20 /pmc/articles/PMC10280669/ /pubmed/37346721 http://dx.doi.org/10.7717/peerj-cs.1298 Text en ©2023 Zhang https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Algorithms and Analysis of Algorithms Zhang, Xiaoling Optimization design of railway logistics center layout based on mobile cloud edge computing |
title | Optimization design of railway logistics center layout based on mobile cloud edge computing |
title_full | Optimization design of railway logistics center layout based on mobile cloud edge computing |
title_fullStr | Optimization design of railway logistics center layout based on mobile cloud edge computing |
title_full_unstemmed | Optimization design of railway logistics center layout based on mobile cloud edge computing |
title_short | Optimization design of railway logistics center layout based on mobile cloud edge computing |
title_sort | optimization design of railway logistics center layout based on mobile cloud edge computing |
topic | Algorithms and Analysis of Algorithms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280669/ https://www.ncbi.nlm.nih.gov/pubmed/37346721 http://dx.doi.org/10.7717/peerj-cs.1298 |
work_keys_str_mv | AT zhangxiaoling optimizationdesignofrailwaylogisticscenterlayoutbasedonmobilecloudedgecomputing |