Volume 30 Issue 2
Apr.  2021
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XIA Xu, HUANG Jianhua, ZHENG Hong, TANG Ruicong. An Optimal Stability Matching Algorithm for DAG Blockchain Based on Matching Theory[J]. Chinese Journal of Electronics, 2021, 30(2): 367-377. doi: 10.1049/cje.2021.01.010
Citation: XIA Xu, HUANG Jianhua, ZHENG Hong, TANG Ruicong. An Optimal Stability Matching Algorithm for DAG Blockchain Based on Matching Theory[J]. Chinese Journal of Electronics, 2021, 30(2): 367-377. doi: 10.1049/cje.2021.01.010

An Optimal Stability Matching Algorithm for DAG Blockchain Based on Matching Theory

doi: 10.1049/cje.2021.01.010

the National Science Foundation of China 61472139

the Shanghai Science and Technology Commission 11511504403

More Information
  • Author Bio:

    XIA Xu   was born in Jiangsu, China. He is working on his master degree with the School of Information Science and Engineering of East China University of Science and Technology, Shanghai, China. His research interests are in the general area of distributed system and blockchain.(Email: skj865@outlook.com)

    HONG Zheng   received her Ph.D. degree in computer software and theory from Chinese Academy of Science, China in 2003. She joined East China University of Science and Technology, China in 2003, where she is currently an Associate Professor in the Department of the Computer Science and Engineering. Her research interests include pervasive computing, system modelling and analysis, blockchains.(Email: zhenghong@ecust.edu.cn)

    TANG Ruicong   received the M.E. degree in software engineering from Zhejiang University. His research interests include fintech and blockchain technology, focusing on supply chain finance, sharding and cross-chain tech-nology, distributed network. He has held several blockchain patents.(Email: ruicongtang@zju.edu.cn)

  • Corresponding author: HUANG Jianhua   (corresponding author) was born in Guizhou, China. He had received the B.S., M.S., and Ph.D. degrees from East China University of Science and Technology. He has served as Associate Professor of computer science and engineering at East China University of Science and Technology since 1998. His research interests include computer networks, IoTs, blockchains, and data mining. He is a member of blockchain branch of Chinese Institute of Electronics. (Email: jhhuang@ecust.edu.cn)
  • Received Date: 2019-11-04
  • Accepted Date: 2020-06-20
  • Publish Date: 2021-03-01
  • IOTA is a typical blockchain designed for IoT applications. The Markov chain monte carlo algorithm (MCMC) used in IOTA may lead to a large number of unverified blocks, which increases transaction delay to a certain extent. We propose a Stable matching algorithm (SMA) based on matching theory to stimulate nodes to verify blocks, thereby reducing the number of unverified blocks and the consensus delay. The structure of our IoT blockchain uses the Directed acyc1ic graph (DAG) to improve the transaction processing capability. The nodes in the network are abstracted as transaction issuers and transaction verifiers. A verification service scheduling system is used to assign transactions to the verifiers and achieve the optimal matching. We designed a trust evaluation mechanism which offers verifiers references and awards to check transactions. The simulation results show that SMA can significantly reduce the number of orphan blocks and improve the transaction throughput, which helps to improve the reliability of the IoT blockchain.
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