发表状态 | 已发表Published |
题名 | Data query mechanism based on hash computing power of blockchain in internet of things |
作者 | |
发表日期 | 2020 |
发表期刊 | Sensors (Switzerland)
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ISSN/eISSN | 1424-8220 |
卷号 | 20期号:1 |
摘要 | In the IoT (Internet of Things) environment, smart homes, smart grids, and telematics constantly generate data with complex attributes. These data have low heterogeneity and poor interoperability, which brings difficulties to data management and value mining. The promising combination of blockchain and the Internet of things as BCoT (blockchain of things) can solve these problems. This paper introduces an innovative method DCOMB (dual combination Bloom filter) to firstly convert the computational power of bitcoin mining into the computational power of query. Furthermore, this article uses the DCOMB method to build blockchain-based IoT data query model. DCOMB can implement queries only through mining hash calculation. This model combines the data stream of the IoT with the timestamp of the blockchain, improving the interoperability of data and the versatility of the IoT database system. The experiment results show that the random reading performance of DCOMB query is higher than that of COMB (combination Bloom filter), and the error rate of DCOMB is lower. Meanwhile, both DCOMB and COMB query performance are better than MySQL (My Structured Query Language). |
关键词 | Blockchain Cloud storage Hash query IoT data |
DOI | 10.3390/s20010207 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000510493100207 |
Scopus入藏号 | 2-s2.0-85077365858 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/7078 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Wang, Jin |
作者单位 | 1.School of Computer and Software, Engineering Research Center of Digital Forensics,Ministry of Education,Nanjing University of Information Science & Technology, Nanjing, 210044, China 2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET),Nanjing University of Information Science & Technology, Nanjing, 210044, China 3.Department of Multimedia Engineering, Dongguk University, Seoul, 04620, South Korea 4.College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China 5.School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410004, China 6.School of Information Science and Engineering, Fujian University of Technology, Fuzhou, 350118, China 7.Computer Science Department, Community College, King Saud University, Riyadh, 11437, Saudi Arabia 8.Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin-El-kom, 32511, Egypt |
推荐引用方式 GB/T 7714 | Ren, Yongjun,Zhu, Fujian,Sharma, Pradip Kumaret al. Data query mechanism based on hash computing power of blockchain in internet of things[J]. Sensors (Switzerland), 2020, 20(1). |
APA | Ren, Yongjun., Zhu, Fujian., Sharma, Pradip Kumar., Wang, Tian., Wang, Jin., .. & Tolba, Amr. (2020). Data query mechanism based on hash computing power of blockchain in internet of things. Sensors (Switzerland), 20(1). |
MLA | Ren, Yongjun,et al."Data query mechanism based on hash computing power of blockchain in internet of things". Sensors (Switzerland) 20.1(2020). |
条目包含的文件 | 条目无相关文件。 |
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