A Blockchain Cross-Chain Solution Based on Relays
Journal Title: International Journal of Knowledge and Innovation Studies - Year 2024, Vol 2, Issue 2
Abstract
Blockchain has attracted widespread attention due to its unique features such as decentralization, traceability, and tamper resistance. With the rapid development of blockchain technology, an increasing number of industries are gradually applying blockchain technology to various fields such as the Internet of Things, healthcare, finance, agriculture, and government affairs. However, there are certain differences in the underlying architecture, data structures, consensus algorithms, and other aspects of blockchain technology across different sectors, which restrict transactions to occur within a single blockchain. Achieving interoperability between different blockchains is challenging, hindering data exchange and collaborative business to some extent, inevitably leading to the problem of “data silo”. Against this backdrop, this study aims to explore a cross-chain solution based on relay technology to address the current challenges of interoperability between blockchain systems. By employing relay-based cross-chain technology, a blockchain cross-chain collaboration platform is established to simulate the construction of a real cross-chain network. By deploying business contracts, data and resources between heterogeneous blockchains can seamlessly communicate, resolving the challenge of cross-chain interoperability. The research findings demonstrate that the blockchain cross-chain solution based on relay technology can effectively enhance interoperability between different blockchain systems, enabling cross-chain asset circulation and information transmission, highlighting the practical applicability and scalability of this study.
Authors and Affiliations
Wanshu Fu, Jiaqi Du, Yi Zhang, Ziqi Wang
Keywords
Related Articles
- EP ID EP744655
- DOI https://doi.org/10.56578/ijkis020202
- Views 53
- Downloads 1
Enhanced Decision-Making Through Induced Confidence-Level Complex Polytopic Fuzzy Aggregation Operators
This study introduces novel aggregation operators aimed at enhancing data analysis and decision-making processes through the induction of confidence levels into complex polytopic fuzzy systems. Specifically, the induced...
An ISM-Based Framework for Open Innovation Enablers Driving the Adoption of Industry 4.0 in Small Manufacturing Firms in Caribbean Small Island Developing States
This study examines the role of Open Innovation (OI) in facilitating the adoption of Industry 4.0 (I4.0) technologies by small manufacturing enterprises in the non-energy sector of Caribbean Small Island Developing State...
Development and Evaluation of a Parallel K-means Algorithm for Big Data Analysis in Google MapReduce Environment
The challenge of executing iterative big data analysis algorithms within the Google Cloud MapReduce environment has been addressed by developing a parallel K-means algorithm capable of leveraging the distributed computin...
A Residual Network with Multi-Scale Dilated Convolutions for Enhanced Recognition of Digital Ink Chinese Characters by Non-Native Writers
Digital ink Chinese character recognition (DICCR) systems have predominantly been developed using datasets composed of native language writers. However, the handwriting of foreign students, who possess distinct writing h...
Parametric Similarity Measurement of T-Spherical Fuzzy Sets for Enhanced Decision-Making
The T-spherical fuzzy set (T-SFS), an advancement over the spherical fuzzy set (SFS), offers a refined approach for addressing contradictions and ambiguities in data. In this context, similarity measures (SMs) serve as c...