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Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach
In recent years, coronavirus disease 2019 (COVID-19) has been a severe issue the world faces. Emergency rescue networks concerning the distribution of relief materials have gained extensive attention to tackle COVID-19 and related emergency issues. However, it is challenging to establish reliable an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166719/ https://www.ncbi.nlm.nih.gov/pubmed/37197297 http://dx.doi.org/10.1016/j.comcom.2023.05.005 |
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author | Chen, Bin Zhang, Weihua Shi, Yijin Lv, Di Yang, Zilan |
author_facet | Chen, Bin Zhang, Weihua Shi, Yijin Lv, Di Yang, Zilan |
author_sort | Chen, Bin |
collection | PubMed |
description | In recent years, coronavirus disease 2019 (COVID-19) has been a severe issue the world faces. Emergency rescue networks concerning the distribution of relief materials have gained extensive attention to tackle COVID-19 and related emergency issues. However, it is challenging to establish reliable and efficient emergency rescue networks due to information asymmetry and lack of trust among different rescue stations. In this work, we propose blockchain-based emergency rescue networks to track every transaction of the relief materials reliably and make decisions to deliver relief materials efficiently. More specifically, we propose a hybrid blockchain architecture that employs on-chain data verification to authenticate data records and off-chain data storage to reduce storage overhead. Furthermore, we propose a fireworks algorithm to efficiently calculate the optimal allocation strategies for relief materials. The algorithm provides chaotic random screening and node request guarantee techniques with good convergence. The simulation results show that integrating blockchain technology and the fireworks algorithm can significantly improve relief materials’ operation efficiency and distribution quality. |
format | Online Article Text |
id | pubmed-10166719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101667192023-05-09 Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach Chen, Bin Zhang, Weihua Shi, Yijin Lv, Di Yang, Zilan Comput Commun Article In recent years, coronavirus disease 2019 (COVID-19) has been a severe issue the world faces. Emergency rescue networks concerning the distribution of relief materials have gained extensive attention to tackle COVID-19 and related emergency issues. However, it is challenging to establish reliable and efficient emergency rescue networks due to information asymmetry and lack of trust among different rescue stations. In this work, we propose blockchain-based emergency rescue networks to track every transaction of the relief materials reliably and make decisions to deliver relief materials efficiently. More specifically, we propose a hybrid blockchain architecture that employs on-chain data verification to authenticate data records and off-chain data storage to reduce storage overhead. Furthermore, we propose a fireworks algorithm to efficiently calculate the optimal allocation strategies for relief materials. The algorithm provides chaotic random screening and node request guarantee techniques with good convergence. The simulation results show that integrating blockchain technology and the fireworks algorithm can significantly improve relief materials’ operation efficiency and distribution quality. Elsevier B.V. 2023-06-01 2023-05-09 /pmc/articles/PMC10166719/ /pubmed/37197297 http://dx.doi.org/10.1016/j.comcom.2023.05.005 Text en © 2023 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chen, Bin Zhang, Weihua Shi, Yijin Lv, Di Yang, Zilan Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title | Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title_full | Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title_fullStr | Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title_full_unstemmed | Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title_short | Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach |
title_sort | reliable and efficient emergency rescue networks: a blockchain and fireworks algorithm-based approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166719/ https://www.ncbi.nlm.nih.gov/pubmed/37197297 http://dx.doi.org/10.1016/j.comcom.2023.05.005 |
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