Cited By
View all- Pioli Lde Macedo DCosta DDantas M(2024)Intelligent Edge-powered Data Reduction: A Systematic Literature ReviewACM Computing Surveys10.1145/365633856:9(1-39)Online publication date: 25-Apr-2024
A CNN-based Fog Node Data Processing Method and Application in Wearable Heart Detection Equipment
Pages 38 - 41
Abstract
Abstract. With the amount increase of sensors and collection data, a large number of low-value data will be directly uploaded to the cloud server without screening in the application process of the Internet of Things, which will waste a lot of network resources. This paper proposes an intelligent processing method of Internet of Things data based on fog computing. Firstly, fog nodes are introduced into the sensor network in the edge of the Internet of Things, and then deep neural network is used as the data processing method in the fog nodes to conduct preliminary classification and screening of the sensor data collected in the edge network. Finally, the processed data is sent to the cloud according to the demand. By comparison, using fog nodes to screen data can greatly reduce the amount of data transmission and meet the needs of data analysis, which is conducive to reducing the cost of the Internet of Things.
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Published: 13 April 2022
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- Research-article
- Research
- Refereed limited
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- Linyi University Project of Doctor Research Foundation
- Shandong Province Higher Educational Science and Technology Program
- Shandong Province Natural Science Foundation
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CCEAI 2022
CCEAI 2022: The 6th International Conference on Control Engineering and Artificial Intelligence
March 11 - 13, 2022
Virtual Event, Japan
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View all- Pioli Lde Macedo DCosta DDantas M(2024)Intelligent Edge-powered Data Reduction: A Systematic Literature ReviewACM Computing Surveys10.1145/365633856:9(1-39)Online publication date: 25-Apr-2024
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