Abstract

In this paper, through research and analysis of the communication network of the physical activity monitoring system, we combine wearable technology and identification technology and design a physical health monitoring bracelet that integrates multifaceted physical data collection and effective identity matching function. We match the identity through the chip and collect the physical fitness data generated in the process of exercise and centralized test by the sensor in real-time. Finally, the data transmission is realized through the WIFI communication function to achieve the purpose of monitoring physical exercise and improving physical quality. To ensure the continuity and stability of information transmission, the joint transmission method of direct transmission and indirect transmission is essential. Besides, considering the energy causality limitation of sensor nodes and relay nodes, a collaborative transmission model of wireless body area network based on wireless cognitive network is constructed. And, a power allocation algorithm based on maximum ratio merging and wireless cognitive network is proposed, which puts forward a new idea for the future research of wireless body area network resource allocation.

Highlights

  • With the development of the microintegrated circuit industry, chips are becoming smaller and smaller, consuming less and less energy, which leads to the production of miniature low-power smart sensors

  • The wireless body area network (WBAN) [2] has emerged, which connects a variety of smart microsensors worn on the surface of the body or placed inside the body to continuously monitor vital physiological information in real-time

  • The research of wireless body area networks still faces many challenges and difficulties, energy supply, energy consumption control, quality of service, communication distance, and security are all issues that need to be considered in the research of wireless body area networks [3]

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Summary

Research Article Communication Network for Sports Activity Monitoring Systems

Received 20 March 2021; Revised 6 April 2021; Accepted 10 April 2021; Published 19 April 2021. Through research and analysis of the communication network of the physical activity monitoring system, we combine wearable technology and identification technology and design a physical health monitoring bracelet that integrates multifaceted physical data collection and effective identity matching function. We match the identity through the chip and collect the physical fitness data generated in the process of exercise and centralized test by the sensor in real-time. Considering the energy causality limitation of sensor nodes and relay nodes, a collaborative transmission model of wireless body area network based on wireless cognitive network is constructed. A power allocation algorithm based on maximum ratio merging and wireless cognitive network is proposed, which puts forward a new idea for the future research of wireless body area network resource allocation

Introduction
Frequency band
Zoom result
The main control module receives sensor data
Results and Analysis
Number of wireless
Energy efficiency
Full Text
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