A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

被引：234

作者：

Cao, Bin ^{[1
,2
]}

Wang, Xuesong ^{[1
,2
]}

Zhang, Weizheng ^{[1
,2
]}

Song, Houbing ^{[3
,4
]}

Lv, Zhihan ^{[5
]}

机构：

[1] Hebei Univ Technol, State Key Lab Reliabil & Intelligence Elect Equip, Tianjin 300130, Peoples R China

[2] Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300401, Peoples R China

[3] Embry Riddle Aeronaut Univ, Dept Elect Engn & Comp Sci, Daytona Beach, FL USA

[4] Embry Riddle Aeronaut Univ, Secur & Optimizat Networked Globe Lab SONG Lab, Daytona Beach, FL USA

[5] Qingdao Univ, Qingdao, Shandong, Peoples R China

来源：

IEEE NETWORK | 2020年 / 34卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Blockchain; Scalability; Security; Delays; Optimization; ALGORITHM;

D O I：

10.1109/MNET.011.1900536

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

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.

引用

页码：78 / 83

页数：6

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