Research on optimization method for medical equipment operation data collection based on wireless sensor network
10.19745/j.1003-8868.2023189
- VernacularTitle:基于无线传感器网络的医学装备运行数据采集优化方法研究
- Author:
Ke-Long CHEN
1
;
Jian-Sheng ZHONG
;
Ya-Jun SHEN
Author Information
1. 如皋市人民医院医学装备科,江苏如皋 226500
- Keywords:
wireless sensor network;
medical equipment;
data collection;
ant colony optimization algorithm;
fly algorithm;
congestion control algorithm
- From:
Chinese Medical Equipment Journal
2023;44(9):83-87
- CountryChina
- Language:Chinese
-
Abstract:
Objective To propose an optimization method for medical equipment data collection based on wireless sensor network in order to solve the problems of high packet loss rate and prolonged time delay for wireless sensor network to acquire medical equipment data.Methods The multi-dimensional state data of medical equipment operation were collected using wireless sensor network and fused with the ant colony optimization algorithm;then the routing strategy was optimized using the adaptive step fruit fly optimization algorithm,and data stream congestion was controlled with the virtual queue-based congestion control algorithm from the levels of rate adjustment and active packet loss.The method proposed was compared with the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network in terms of pocket loss rate and time delay to verify its effectiveness and advantages.Results The method proposed had a packet loss rate of only 8.6％for data acquisition at a sampling rate of 80 Kibit/s and an average time delay of about 0.115 s in case of 500 sensor nodes,which were much lower than those of the medical equipment data collection methods respectively based on wireless sensor network and ant colony wireless sensor network.Conclusion The method proposed improves the efficiency of multi-dimensional state data collection and allieves the data flow congestion of wireless sensor network.References are provided for remote monitoring of medical equipment operation state.[Chinese Medical Equipment Journal,2023,44(9):83-87]
