Research on optimization method for medical equipment operation data collection based on wireless sensor network / 医疗卫生装备

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]