Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network

The real-time and accurate collection of long-distance runners’ training distance can provide real-time scientific basis for long-distance runners’ physical training. Therefore, the real-time collection method of long-distance runners’ training distance based on wireless sensor network is studied in...

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Main Author: Xin Li
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Security and Communication Networks
Online Access:http://dx.doi.org/10.1155/2021/9992239
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spelling doaj-48a0986784db42f1b7d4b3647436d2472021-05-31T00:33:39ZengHindawi-WileySecurity and Communication Networks1939-01222021-01-01202110.1155/2021/9992239Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor NetworkXin Li0Physical Education DepartmentThe real-time and accurate collection of long-distance runners’ training distance can provide real-time scientific basis for long-distance runners’ physical training. Therefore, the real-time collection method of long-distance runners’ training distance based on wireless sensor network is studied in this paper. In this model, the position tracking algorithm of long-distance runners based on wireless sensor network is introduced to collect the training distance of long-distance runners. When collecting the training distance, the energy balanced clustering routing algorithm based on energy and location is used to optimize and balance the energy consumption distribution of nodes and prolong the network life cycle, so that the training distance of long-distance runners can be collected in real time. Through the test, in the straight line and curve training path, this method has significant accuracy in collecting the training distance of single and multiple long-distance runners and can collect the training distance of long-distance runners in real time, which has significant application value.http://dx.doi.org/10.1155/2021/9992239
collection DOAJ
language English
format Article
sources DOAJ
author Xin Li
spellingShingle Xin Li
Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
Security and Communication Networks
author_facet Xin Li
author_sort Xin Li
title Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
title_short Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
title_full Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
title_fullStr Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
title_full_unstemmed Real-Time Collection of Training Distance of Long-Distance Runners Based on Wireless Sensor Network
title_sort real-time collection of training distance of long-distance runners based on wireless sensor network
publisher Hindawi-Wiley
series Security and Communication Networks
issn 1939-0122
publishDate 2021-01-01
description The real-time and accurate collection of long-distance runners’ training distance can provide real-time scientific basis for long-distance runners’ physical training. Therefore, the real-time collection method of long-distance runners’ training distance based on wireless sensor network is studied in this paper. In this model, the position tracking algorithm of long-distance runners based on wireless sensor network is introduced to collect the training distance of long-distance runners. When collecting the training distance, the energy balanced clustering routing algorithm based on energy and location is used to optimize and balance the energy consumption distribution of nodes and prolong the network life cycle, so that the training distance of long-distance runners can be collected in real time. Through the test, in the straight line and curve training path, this method has significant accuracy in collecting the training distance of single and multiple long-distance runners and can collect the training distance of long-distance runners in real time, which has significant application value.
url http://dx.doi.org/10.1155/2021/9992239
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