Unlocking Blockchain Interconnectivity: Smart Contract-Driven Cross-Chain Communication

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Abstract

In recent years, blockchain technology has gained significant attention for its potential in various domains. However, the lack of interoperability between different blockchain platforms poses a significant challenge in meeting the demands of the modern world. To address this issue, our research focuses on unlocking blockchain interconnectivity through smart contract-driven cross-chain communication. We aim to contribute to the development of a model that enhances the functionality and usability of blockchain technology. To achieve interoperability, we explore various options and leverage the power of smart contracts. These contracts enable seamless communication and exchange of services between different blockchain platforms, as well as with legacy systems. By implementing our proposed model, we intend to bridge the gap between isolated blockchain systems, enabling them to work together efficiently and effectively. To validate the effectiveness of our model, we have conducted a comparative analysis with existing parent blockchain models for cross-chain communication. We have measured and compared their mean and standard deviation, which indicate the performance improvements achieved by our approach. The results demonstrate that our model outperforms the existing parent blockchain model, offering better cross-chain communication capabilities and showing a 42.27% improvement in efficiency as well. Through our research, we aim to contribute to the advancement of blockchain technology by addressing the critical issue of interoperability. By enabling seamless communication and collaboration between different blockchain platforms, our model has the potential to revolutionize various industries and unlock new opportunities for innovation and growth.

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CITATION STYLE

APA

Zala, K., Modi, V., Giri, D., Acharya, B., Mallik, S., & Qin, H. (2023). Unlocking Blockchain Interconnectivity: Smart Contract-Driven Cross-Chain Communication. IEEE Access, 11, 75365–75380. https://doi.org/10.1109/ACCESS.2023.3296556

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