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Interaction design research based on large data rule mining and blockchain communication technology

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Abstract

As the amount of information in the internet of things increases, data storage management tends to be distributed, which leads to problems such as difficult data cooperation and interaction between sites, low communication efficiency, and poor reliability. Blockchain is one of the new information technologies supporting the development of management information system. It provides a solution for the storage, verification, transmission, and exchange of distributed data. To optimize the communication performance from two aspects of communication topology and communication mechanism, a multi-link and concurrent communication tree model was constructed. To improve blockchain communication technology, an interactive design method based on big data rule mining and blockchain communication technology was proposed, which mainly solved the optimization of transmission performance of blockchain data. On the basis of ensuring the stability and reliability of data transmission, the efficiency of data transmission in blockchain was further optimized, and the integrated factor communication tree algorithm (IFT) was proposed. To solve the influence of transmission delay between nodes on communication performance, a multi-link multifactor weighted communication tree algorithm (MMWT) considering weight was proposed. Moreover, to improve the efficiency of data communication, ensure the reliability of transmission, and improve the fairness of service in the blockchain, different strategies for optimizing the performance of data communication in the blockchain were proposed under the constraints of factors such as node communication ability, node trust, weight, and service request priority. Finally, the simulation results showed that MMWT algorithm had good communication performance in concurrent communication time, communication tree reliability, communication tree depth, and other aspects.

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Authors and Affiliations

  1. School of Computer Science and Technology, Fudan University, Shanghai, 200000, China

    Jiboning Zhang

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  1. Jiboning Zhang
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Correspondence to Jiboning Zhang.

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Zhang, J. Interaction design research based on large data rule mining and blockchain communication technology. Soft Comput 24, 16593–16604 (2020). https://doi.org/10.1007/s00500-020-04962-0

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  • DOI: https://doi.org/10.1007/s00500-020-04962-0

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