A Training Monitoring System for Cyclist Based on Wireless Sensor Networks
| Autor: | Sharifah Kamilah Syed Yusof, K. Mohamad Yusof, Muhammad Ariff Baharudin, N. M. Abdul Latiff, Hamdan Sayuti, M. A. Ruslee, M. R. Abdul Rahim |
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| Rok vydání: | 2017 |
| Předmět: |
Engineering
Control and Optimization Computer Networks and Communications business.industry Reliability (computer networking) Node (networking) 010401 analytical chemistry 05 social sciences Real-time computing 050801 communication & media studies Cloud computing 01 natural sciences 0104 chemical sciences Key distribution in wireless sensor networks 0508 media and communications Hardware and Architecture Packet loss Embedded system Signal Processing Systems architecture Wireless Electrical and Electronic Engineering business Wireless sensor network Information Systems |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 6:80 |
| ISSN: | 2502-4760 2502-4752 |
| Popis: | This paper presents a training monitoring system for cyclist that is based on the technology of wireless sensor networks (WSNs). A stable and reliable wireless cyclist monitoring system is vital to establish a smart and efficient sports management program. A training monitoring system has been developed and tested in a real cyclist training environment in a velodrome. The system is designed is such a way that the packet loss rate is minimum. Using TelG mote as the basis, customized sensor nodes that function as a forwarder node and the relay nodes are developed to form the WSN. This WSN is linked to the cloud network on the Internet. The cloud network is then established and end users application for data accessing is designed. Several experiments have been conducted in a real scenario in a velodrome to measure the reliability of the system architecture. It is shown from the experiments that the proposed system is reliable even when the cyclist is moving at a high speed. The packet loss is less than 2% which does not give a huge impact to the data transmission. |
| Databáze: | OpenAIRE |
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