基于IPv6的远程医学细粒度数据传输的研究

IPv6-based fine granularity data transmission in telemedicine

目的:为了解决远程医学关键业务数据流在互联网上传输出现的网络延时较大和数据丢包较多等问题,进行互联网协议版本6(IPv6)的流标签远程医学细粒度数据传输新方法的研究。方法:在用户端使用IPv6数据包新增的流标字段,将不同类型的远程医学数据流的服务质量参数写入其中。在互联网传输过程中采用流标签网关识别分类和数据传输服务质量(QoS)保证技术。结果:对不同业务类型的远程医学数据流实现了细粒度的数据传输。结论:使用IPv6流标签细粒度区分数据流,较好的解决了网络延时和数据丢包对数据传输的影响,可以将有限的网络资源充分的应用到需要的服务上,提高远程医学数据传输端到端的服务质量。

Objective： To solve the network delay and data missing when the data of telemedicine are transmitted via the internet and study the new method of. Methods： Fine granularity categorization of different fields in telemedicine was conducted based on flow label field defined by IPv6 header and real-time data transmission in telemedicine was carried out through flow label gateway-identify classification and quality of service technique. Results： The transmission of telemedicine data was conducted according to fine granularity categorization. Conclusion： The distinguishing of data flow by IPv6-based fine granularity categorization reduces or eliminates the impact of data delay and data missing on data transmission so that the limited network resources can be used effectively and the quality of data transmission of telemedicine can be improved.