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Open AccessArticle

Implementation of High-Performance Blockchain Network Based on Cross-Chain Technology for IoT Applications

School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Author to whom correspondence should be addressed.
Sensors 2020, 20(11), 3268;
Received: 21 May 2020 / Revised: 2 June 2020 / Accepted: 3 June 2020 / Published: 8 June 2020
With the development of technology, the network structure has changed a lot. Many people regard the Internet of Things as the next-generation network structure, which means all the embedded devices can communicate with each other directly. However, some problems remain in IoT before it can be applied in a large scale. Blockchain, which has become a hot research topic in recent years, may be one of the solutions. However, currently, the transaction speed of blockchain is still a disadvantage compared to traditional transaction methods. This paper focuses on to implement a high-performance blockchain platform. After investigation of the current blockchain consensus algorithm and blockchain architecture, we propose: (1) an improved blockchain consensus algorithm, which is implemented based on the mortgage model instead of probability model; (2) a cross-chain protocol with transverse expansion capacity, which would support the message transmission among chains; (3) a high-performance cross-chain blockchain network structure, which could handle more than 1000 transactions per second per chain by verification. Experiments have been carried out, and shown that the cross-chain blockchain network structure we provided is feasible to meet the requirement of large-scale distributed IoT applications. View Full-Text
Keywords: IoT; blockchain; high-performance; consensus algorithm; cross-chain protocol IoT; blockchain; high-performance; consensus algorithm; cross-chain protocol
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Lin, T.; Yang, X.; Wang, T.; Peng, T.; Xu, F.; Lao, S.; Ma, S.; Wang, H.; Hao, W. Implementation of High-Performance Blockchain Network Based on Cross-Chain Technology for IoT Applications. Sensors 2020, 20, 3268.

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