BCT: An Efficient and Fault Tolerance Blockchain Consensus Transform Mechanism for IoT

With the vigorous development of 5G communication technology, massive Internet of Things (IoT) devices generate data incrementally. Different data owners control different private domains of the IoT through edge devices and hope to achieve credible data sharing. Most of the existing solutions are ba...

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Vydané v:IEEE internet of things journal Ročník 10; číslo 14; s. 12055 - 12065
Hlavní autori: Fu, Jintian, Zhang, Lupeng, Wang, Leixin, Li, Fengqi
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 15.07.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Blockchain
Blockchains
Byzantine fault tolerant
Consensus algorithm
consensus transform
Cryptography
efficiency
Fault tolerance
Fault tolerant systems
Internet of Things
Internet of Things (IoT)
Servers
Transforms
ISSN:2327-4662, 2327-4662
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Popis
Shrnutí:With the vigorous development of 5G communication technology, massive Internet of Things (IoT) devices generate data incrementally. Different data owners control different private domains of the IoT through edge devices and hope to achieve credible data sharing. Most of the existing solutions are based on blockchain to realize cross-domain IoT data sharing. However, incremental IoT data sharing has dual requirements for the consensus mechanism to be efficient and Byzantine fault tolerant. The independent use of the existing consensus mechanism cannot meet the above requirements simultaneously. Therefore, we propose an efficient and fault-tolerant blockchain consensus transform (BCT) mechanism for IoT. In addition, we design two consensus algorithms, namely, detectable RAFT (DRAFT) and double-layer parallel BFT (DPBFT), to improve the efficiency and fault tolerance of the data-sharing process. Extensive experiments have been conducted to show the efficiency and tolerance of our BCT mechanism.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2021.3123626