Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks
In today's world, with the advent of information technology, the speed of social development has also been greatly improved, and the national demand is also increasing. Among them, national health issues have always been the focus of countries. In addition to basic medical testing, the rehabili...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823010074 |
| _version_ | 1797391956070891520 |
|---|---|
| author | Yu Ke Xiaoyuan Xing |
| author_facet | Yu Ke Xiaoyuan Xing |
| author_sort | Yu Ke |
| collection | DOAJ |
| description | In today's world, with the advent of information technology, the speed of social development has also been greatly improved, and the national demand is also increasing. Among them, national health issues have always been the focus of countries. In addition to basic medical testing, the rehabilitation training for special groups in the medical industry is also gradually becoming more mature. In traditional wireless sensor networks, the energy consumption of nodes is often high, because each node needs to continuously send and receive data, leading to energy waste. In addition, many nodes remain active even when data transmission is not required, further increasing energy consumption. The coverage range of traditional wireless sensor networks is influenced by the number and distribution of nodes, often resulting in coverage vulnerabilities and blind spots. This makes it impossible for the network to fully cover the target area, reducing the reliability and accuracy of monitoring. Based on the above situation, this paper studies the construction of rehabilitation training simulation model by using wireless sensor network monitoring coverage and transmission technology on the basis of energy acquisition. Firstly, it discusses the development trend of rehabilitation training technology in various countries and the social status of rehabilitation training. Through the use of wireless sensor network monitors to monitor the target data collection and model construction. The target coverage and transmission speed are optimized by combining reinforcement learning algorithm SARSA and multilayer feedforward BP neural network. The sensor coverage and transmission of monitoring targets are also studied. The results show that the optimized wireless sensor system has a good effect in rehabilitation training. |
| first_indexed | 2024-03-08T23:40:14Z |
| format | Article |
| id | doaj.art-de1f839372b946478e6b6fafa2687511 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-03-08T23:40:14Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-de1f839372b946478e6b6fafa26875112023-12-14T05:20:42ZengElsevierAlexandria Engineering Journal1110-01682023-12-01851928Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networksYu Ke0Xiaoyuan Xing1Corresponding author.; School of Physical Education, Xinxiang Medical University, Xinxiang 453000, ChinaSchool of Physical Education, Xinxiang Medical University, Xinxiang 453000, ChinaIn today's world, with the advent of information technology, the speed of social development has also been greatly improved, and the national demand is also increasing. Among them, national health issues have always been the focus of countries. In addition to basic medical testing, the rehabilitation training for special groups in the medical industry is also gradually becoming more mature. In traditional wireless sensor networks, the energy consumption of nodes is often high, because each node needs to continuously send and receive data, leading to energy waste. In addition, many nodes remain active even when data transmission is not required, further increasing energy consumption. The coverage range of traditional wireless sensor networks is influenced by the number and distribution of nodes, often resulting in coverage vulnerabilities and blind spots. This makes it impossible for the network to fully cover the target area, reducing the reliability and accuracy of monitoring. Based on the above situation, this paper studies the construction of rehabilitation training simulation model by using wireless sensor network monitoring coverage and transmission technology on the basis of energy acquisition. Firstly, it discusses the development trend of rehabilitation training technology in various countries and the social status of rehabilitation training. Through the use of wireless sensor network monitors to monitor the target data collection and model construction. The target coverage and transmission speed are optimized by combining reinforcement learning algorithm SARSA and multilayer feedforward BP neural network. The sensor coverage and transmission of monitoring targets are also studied. The results show that the optimized wireless sensor system has a good effect in rehabilitation training.http://www.sciencedirect.com/science/article/pii/S1110016823010074Energy monitoringWireless sensorNetwork transmissionRehabilitation trainingClustering algorithm |
| spellingShingle | Yu Ke Xiaoyuan Xing Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks Alexandria Engineering Journal Energy monitoring Wireless sensor Network transmission Rehabilitation training Clustering algorithm |
| title | Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| title_full | Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| title_fullStr | Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| title_full_unstemmed | Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| title_short | Construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| title_sort | construction of rehabilitation training simulation model based on energy monitoring and transmission by wireless sensor networks |
| topic | Energy monitoring Wireless sensor Network transmission Rehabilitation training Clustering algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S1110016823010074 |
| work_keys_str_mv | AT yuke constructionofrehabilitationtrainingsimulationmodelbasedonenergymonitoringandtransmissionbywirelesssensornetworks AT xiaoyuanxing constructionofrehabilitationtrainingsimulationmodelbasedonenergymonitoringandtransmissionbywirelesssensornetworks |