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A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities
Rapid urbanization has recently caused serious problems for cities all around the world. Smart cities have drawn much interest from researchers in the present research paradigm to manage the expanding urban population. Frameworks for smart cities are planned and implemented using platforms based on...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987374/ https://www.ncbi.nlm.nih.gov/pubmed/36987505 http://dx.doi.org/10.1007/s11277-023-10230-9 |
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author | Tripathi, Ashish Kumar Akul Krishnan, K. Pandey, Avinash Chandra |
author_facet | Tripathi, Ashish Kumar Akul Krishnan, K. Pandey, Avinash Chandra |
author_sort | Tripathi, Ashish Kumar |
collection | PubMed |
description | Rapid urbanization has recently caused serious problems for cities all around the world. Smart cities have drawn much interest from researchers in the present research paradigm to manage the expanding urban population. Frameworks for smart cities are planned and implemented using platforms based on blockchain and the Internet of Things (BIOT). Smart cities may use the BIoT platform to provide improved transportation, food traceability, and healthcare services. Food safety is one of the sectors where less research has been done than the others. The importance of food safety is now more widely recognized, making it essential to improve the traceability and transparency of the food supply chain. In this paper, a novel BIOT-based layered framework using EOSIO has been proposed for effective food traceability. The proposed system first identifies the suitable traceability units to provide better transparency and traceability and then defines and implements a layered architecture using Ethereum and EOSIO blockchain platforms. The performance of the proposed EOSIO-based model is evaluated using the practicality of the consensus algorithm, block production rate, throughput, and block confirmation time. The proposed traceability system attains a block production rate of 0.5 s and a block confirmation time of 1 s, which is much lower than the Ethereum-based traceability system. Hence, from the experimental evidence, the superiority of the proposed EOSIO-based food traceability can be observed. |
format | Online Article Text |
id | pubmed-9987374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99873742023-03-06 A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities Tripathi, Ashish Kumar Akul Krishnan, K. Pandey, Avinash Chandra Wirel Pers Commun Article Rapid urbanization has recently caused serious problems for cities all around the world. Smart cities have drawn much interest from researchers in the present research paradigm to manage the expanding urban population. Frameworks for smart cities are planned and implemented using platforms based on blockchain and the Internet of Things (BIOT). Smart cities may use the BIoT platform to provide improved transportation, food traceability, and healthcare services. Food safety is one of the sectors where less research has been done than the others. The importance of food safety is now more widely recognized, making it essential to improve the traceability and transparency of the food supply chain. In this paper, a novel BIOT-based layered framework using EOSIO has been proposed for effective food traceability. The proposed system first identifies the suitable traceability units to provide better transparency and traceability and then defines and implements a layered architecture using Ethereum and EOSIO blockchain platforms. The performance of the proposed EOSIO-based model is evaluated using the practicality of the consensus algorithm, block production rate, throughput, and block confirmation time. The proposed traceability system attains a block production rate of 0.5 s and a block confirmation time of 1 s, which is much lower than the Ethereum-based traceability system. Hence, from the experimental evidence, the superiority of the proposed EOSIO-based food traceability can be observed. Springer US 2023-03-06 2023 /pmc/articles/PMC9987374/ /pubmed/36987505 http://dx.doi.org/10.1007/s11277-023-10230-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Tripathi, Ashish Kumar Akul Krishnan, K. Pandey, Avinash Chandra A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title | A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title_full | A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title_fullStr | A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title_full_unstemmed | A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title_short | A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities |
title_sort | novel blockchain and internet of things-based food traceability system for smart cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987374/ https://www.ncbi.nlm.nih.gov/pubmed/36987505 http://dx.doi.org/10.1007/s11277-023-10230-9 |
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