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Implementation of High-Performance Blockchain Network Based on Cross-Chain Technology for IoT Applications
Ting Lin1, Xu Yang1, Taoyi Wang1
1School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
This study introduces a high-performance blockchain platform for the Internet of Things (IoT). It features an improved consensus algorithm and a cross-chain network structure capable of over 1000 transactions per second per chain.
Area of Science:
- Computer Science
- Network Engineering
- Distributed Systems
Background:
- The Internet of Things (IoT) requires robust network structures for direct device communication.
- Current blockchain technology faces limitations in transaction speed, hindering large-scale IoT adoption.
- Addressing these challenges is crucial for realizing the full potential of interconnected devices.
Purpose of the Study:
- To develop a high-performance blockchain platform tailored for IoT applications.
- To overcome the transaction speed limitations of existing blockchain solutions.
- To enable secure and efficient communication in large-scale distributed IoT environments.
Main Methods:
- Implementation of an improved blockchain consensus algorithm based on a mortgage model.
- Development of a cross-chain protocol with transverse expansion capabilities for inter-chain message transmission.
- Design of a high-performance cross-chain blockchain network structure for enhanced throughput.
Main Results:
- The proposed blockchain network structure achieves over 1000 transactions per second per chain.
- The mortgage-based consensus algorithm enhances transaction processing efficiency.
- The cross-chain protocol facilitates seamless message transmission among different blockchain networks.
Conclusions:
- The developed high-performance cross-chain blockchain network is feasible for large-scale distributed IoT applications.
- The proposed solutions effectively address the transaction speed bottleneck in blockchain for IoT.
- This work paves the way for more scalable and efficient IoT ecosystems.
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