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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...

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Detalles Bibliográficos
Autores principales: Chen, Bin, Zhang, Weihua, Shi, Yijin, Lv, Di, Yang, Zilan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
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.
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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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