short-paper

Experimental Scalability Study of Consortium Blockchains with BFT Consensus for IoT Automotive Use Case

Authors:

Cyril Naves Samuel,

François Verdier,

Severine Glock,

Patricia Guitton-OuhamouAuthors Info & Claims

SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

Pages 492 - 498

https://doi.org/10.1145/3485730.3493374

Published: 15 November 2021 Publication History

Abstract

Private or consortium blockchain networks have fewer verified participants and offer better throughput and transaction efficiency than public networks. However, as more and more blockchain consensuses are designed for private or consortium networks, their performances are often estimated without a practical use case implementation. In our use case, participants do not have to trust each other but still work together to build an ecosystem where users control their data and information. This paper analyzes the performance (transaction throughput, rejections, node participants) of Byzantine Fault Tolerant Consensus (BFT) using two blockchains: Hyperledger Sawtooth and Ethereum.

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Cited By

Samuel CVerdier FGlock SGuitton-Ouhamou P(2024)A Fair Crowd-Sourced Automotive Data Monetization Approach Using Substrate Hybrid Consensus BlockchainFuture Internet10.3390/fi1605015616:5(156)Online publication date: 30-Apr-2024
https://doi.org/10.3390/fi16050156
Zhang JSun YGuo DLuo LLi LNian QZhu SYang F(2024)A Reputation Awareness Randomization Consensus Mechanism in Blockchain SystemsIEEE Internet of Things Journal10.1109/JIOT.2024.340884611:20(32745-32758)Online publication date: 15-Oct-2024
https://doi.org/10.1109/JIOT.2024.3408846
Lei MXu LLiu TLiu SSun C(2022)Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and ChallengesFoods10.3390/foods1115226211:15(2262)Online publication date: 28-Jul-2022
https://doi.org/10.3390/foods11152262

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cover image ACM Conferences

SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems

November 2021

686 pages

ISBN:9781450390972

DOI:10.1145/3485730

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 November 2021

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Short-paper
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Refereed limited

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SenSys '21

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SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems

November 15 - 17, 2021

Coimbra, Portugal

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SenSys '21 Paper Acceptance Rate 25 of 139 submissions, 18%;

Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

Samuel CVerdier FGlock SGuitton-Ouhamou P(2024)A Fair Crowd-Sourced Automotive Data Monetization Approach Using Substrate Hybrid Consensus BlockchainFuture Internet10.3390/fi1605015616:5(156)Online publication date: 30-Apr-2024
https://doi.org/10.3390/fi16050156
Zhang JSun YGuo DLuo LLi LNian QZhu SYang F(2024)A Reputation Awareness Randomization Consensus Mechanism in Blockchain SystemsIEEE Internet of Things Journal10.1109/JIOT.2024.340884611:20(32745-32758)Online publication date: 15-Oct-2024
https://doi.org/10.1109/JIOT.2024.3408846
Lei MXu LLiu TLiu SSun C(2022)Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and ChallengesFoods10.3390/foods1115226211:15(2262)Online publication date: 28-Jul-2022
https://doi.org/10.3390/foods11152262
Goyal HH MSaha S(2022)ReLI: Real-Time Lightweight Byzantine Consensus in Low-Power IoT-Systems2022 18th International Conference on Network and Service Management (CNSM)10.23919/CNSM55787.2022.9965123(275-281)Online publication date: 31-Oct-2022
https://doi.org/10.23919/CNSM55787.2022.9965123

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