Research Article
Design of telemedicine information query system based on wireless sensor network
@ARTICLE{10.4108/eetpht.v8i4.674, author={Qian Gao and Thippa Reddy Gadekallu}, title={Design of telemedicine information query system based on wireless sensor network}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={8}, number={4}, publisher={EAI}, journal_a={PHAT}, year={2022}, month={8}, keywords={Wireless sensor network, Telemedicine, Information Service, Information self integration}, doi={10.4108/eetpht.v8i4.674} }
- Qian Gao
Thippa Reddy Gadekallu
Year: 2022
Design of telemedicine information query system based on wireless sensor network
PHAT
EAI
DOI: 10.4108/eetpht.v8i4.674
Abstract
INTRODUCTION: A wireless sensor network-based remote medical information query system is proposed and designed. OBJECTIVE: The proposed method aims at improving the throughput of the hospital information remote query system and reducing the response time METHODS: The system structure is divided into three levels. The presentation layer is responsible for displaying the query operation interface of the function layer. The function layer realizes the query function according to the user instructions. The wireless sensor network is responsible for the transmission of instructions. The data layer starts the query of telemedicine information based on the Top-k query algorithm. In wireless sensor networks, the improved ant colony algorithm is used to optimize it, which improves the information transmission performance of the system. RESULTS: The experimental results show that the designed system can complete the medical information query according to the needs of users, the system throughput and the residual energy of sink nodes are high, and the maximum response time of the system is always less than 0.5s. CONCLUSION: It shows that the designed system has strong practical application performance and high application value.
Copyright © 2022 Gao Qian et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.