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A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain
IEEE NETWORK ( IF 6.8 ) Pub Date : 9-18-2020 , DOI: 10.1109/mnet.011.1900536
Bin Cao , Xuesong Wang , Weizheng Zhang , Houbing Song , Zhihan Lv

The Industrial Internet of Things (IIoT) has developed rapidly in recent years. Private blockchains with decentralization, flexible rules, and good privacy protection can be applied in the IIoT to process the massive data and tackle the security problem. However, the scalability of blockchain places a restriction on IIoT. Accordingly, this article proposes an improved algorithm based on Two_Arch2 to improve the scalability and decentralization while reducing the latency and cost of the blockchain. By integrating the private blockchain theory to IIoT and simultaneously considering the above four objectives, a many-objective blockchain-enabled IIoT model is constructed. Then an improved Two_Arch2 algorithm is utilized to solve the model. Experimental results show that the improved algorithm can effectively optimize four indicators of the model.

中文翻译:


基于私有区块链的工业物联网多目标优化模型



工业物联网(IIoT)近年来发展迅速。具有去中心化、规则灵活、隐私保护良好的私有区块链可以应用于工业物联网中,处理海量数据并解决安全问题。然而,区块链的可扩展性对工业物联网造成了限制。因此,本文提出了一种基于 Two_Arch2 的改进算法,以提高可扩展性和去中心化性,同时降低区块链的延迟和成本。通过将私有区块链理论融入工业物联网并同时考虑上述四个目标,构建了一个多目标的区块链支持的工业物联网模型。然后利用改进的Two_Arch2算法对模型进行求解。实验结果表明,改进算法能够有效优化模型的四个指标。
更新日期:2024-08-22
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