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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >Interaction design research based on large data rule mining and blockchain communication technology
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Interaction design research based on large data rule mining and blockchain communication technology

机译：基于大型数据规则挖掘和区块链通信技术的交互设计研究

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摘要

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.
机译：随着物联网中的信息量增加，数据存储管理趋于分发，这导致存在困难的数据合作和站点之间的相互作用，低通信效率和可靠性差。 BlockChain是支持管理信息系统的开发的新信息技术之一。它提供了用于存储，验证，传输和分布式数据交换的解决方案。为了优化来自通信拓扑和通信机制的两个方面的通信性能，构建了多链路和并发通信树模型。为了提高区块链通信技术，提出了一种基于大数据规则挖掘和区块链通信技术的交互式设计方法，主要解决了块CLONCHAIN数据的传输性能的优化。在确保数据传输的稳定性和可靠性的基础上，进一步优化了区块链中数据传输的效率，并提出了集成因子通信树算法（IFT）。为了解决通信性能对节点之间的传输延迟的影响，提出了考虑重量的多链路多因素加权通信树算法（MMWT）。此外，为了提高数据通信的效率，确保传输的可靠性，以及改善区块链中的服务的公平性，在节点通信能力等因素的约束下提出了优化区块链中数据通信性能的不同策略，节点信任，重量和服务请求优先级。最后，仿真结果表明，MMWT算法在并发通信时间内具有良好的通信性能，通信树可靠性，通信树深度和其他方面。

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