Edge Computing Deployment Algorithm and Sports Training Data Mining Based on Software Defined Network

Author:

Yang Minggang1ORCID,Gao Cuifang2ORCID,Han Junmei1ORCID

Affiliation:

1. School of Physical Education, Shandong University of Technology, Zibo, Shandong 255000, China

2. Department of Traditional Chinese Medicine, Shandong Drug and Food Vocational College, Zibo, Shandong 255011, China

Abstract

The wireless sensor network collects data from various areas through specific network nodes and uploads it to the decision-making layer for analysis and processing. Therefore, it has become a perception network of the Internet of Things and has made great achievements in monitoring and prevention at this stage. At this stage, the main problem is the motive power of sensor nodes, so the energy storage and transmission of wireless sensor network is imminent. Mobile edge computing technology provides a new type of technology for today’s edge networks, enabling it to process resource-intensive data blocks and feedback to managers in time. It is a new starting point for cloud computing services, compared to traditional cloud computing services. The transmission speed is more efficient and will be widely used in various industries and serve them in the future. Among them, education and related industries urgently need in-depth information, which in turn promotes the rapid development of data mining by sensor networks. This article focuses on data mining technology, mainly expounds the meaning and main mining methods of data mining technology, and conducts data mining on sports training requirements from the aspects of demand collection and analysis, algorithm design and optimization, demand results and realization, etc. Monitor the training status and give the trainer reasonable suggestions. Through the processing of the training data mining results and proofreading the database standardized training data, we can formulate a personalized program suitable for sportsmen, reduce sports injuries caused by no trainer’s guidance, and open new doors for training modes. Therefore, this paper studies the sensor network technology, edge computing deployment algorithm, and sports training data mining.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Edge Computing Assisted Internet of Things in Sports Management System;Tehnicki vjesnik - Technical Gazette;2024-08-15

2. An enterprise operation management method based on mobile edge computing and data mining;International Journal of Data Mining and Bioinformatics;2024

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