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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2065-2069

IoT health monitoring big data analysis system based on MF-R and AWS key management mechanism

Zang Yanhui1
Zhao Xuezhang1
Xi Yunjiang2
1. Foshan Polytechnic, Foshan Guangdong 528137, China
2. South China University of Technology, Guangzhou 510641, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0275

Abstract

Wearable medical devices with sensor continuously generate enormous data, due to the complexity of the data, it is difficult to process and analyze the big data for finding valuable information that can be useful in decision-making. In order to overcome this issue, this paper proposed a new architecture for the implementation of IoT to store and process scalable sensor data(big data) for health care applications. The proposed architecture consisted of two main sub architectures, namely, Meta fog-redirection(MF-R) and AWS key management mechanism. MF-R architecture used big data technologies such as Apache Pig and Apache HBase for collecting and storing the sensor data generated from different sensor devices and it also used Kalman filter for removal of noise. AWS key management mechanism used a key management scheme to protect data in the cloud and prevent unauthorized access. When data was stored in the cloud, the proposed system could use stochastic gradient descent algorithms and logistic regression to develop a predictive model of heart disease. Simulation experiments show that compared with other algorithms, the proposed algorithm has smaller error and it has certain advantages in terms of throughput and accuracy.

Foundation Support

国家自然科学基金面上项目(71371077)
佛山市科技计划资助项目(2015AB004241)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0275
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: System Development & Application
Pages: 2065-2069
Serial Number: 1001-3695(2019)07-033-2065-05

Publish History

[2019-07-05] Printed Article

Cite This Article

臧艳辉, 赵雪章, 席运江. 基于MF-R和AWS密钥管理机制的物联网健康监测大数据分析系统 [J]. 计算机应用研究, 2019, 36 (7): 2065-2069. (Zang Yanhui, Zhao Xuezhang, Xi Yunjiang. IoT health monitoring big data analysis system based on MF-R and AWS key management mechanism [J]. Application Research of Computers, 2019, 36 (7): 2065-2069. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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