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面向远程医疗的流媒体群智网络传输系统
引用本文:郭静,王庆,陈泽亚.面向远程医疗的流媒体群智网络传输系统[J].计算机系统应用,2015,24(11):88-92.
作者姓名:郭静  王庆  陈泽亚
作者单位:中国科学技术大学计算机科学与技术学院, 合肥 230026;中国科学技术大学苏州研究院, 苏州 215123,中国科学技术大学计算机科学与技术学院, 合肥 230026;中国科学技术大学苏州研究院, 苏州 215123,中国科学技术大学计算机科学与技术学院, 合肥 230026;中国科学技术大学苏州研究院, 苏州 215123
摘    要:针对传统远程医疗流媒体传输需要专有网络和设备支持,从而无法大规模应用到生活中的问题,提出一种工作于传统网络上的基于群智网络的远程医疗系统解决方案.利用远程医疗系统中社交网络的网络节点拓扑特性,构建节点间无意识协作的群智网络模型,在此通信模型的基础之上设计并实现了分布式的流媒体传输系统.该系统可以提高网络利用率,平衡节点的数据流量,为远程医疗系统的实现提供了一种新的解决方案.实验结果表明,该系统可以有效提高普通网络环境下的数据传输速率.

关 键 词:流媒体传输  群智网络  远程医疗  社交网络  分布式系统
收稿时间:2015/3/12 0:00:00
修稿时间:2015/4/26 0:00:00

Remote Medical Oriented Crowd Participatory Network Based Streaming Media Transmission
GUO Jing,WANG Qing and CHEN Ze-Ya.Remote Medical Oriented Crowd Participatory Network Based Streaming Media Transmission[J].Computer Systems& Applications,2015,24(11):88-92.
Authors:GUO Jing  WANG Qing and CHEN Ze-Ya
Affiliation:School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China;Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China,School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China;Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China and School of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China;Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, China
Abstract:The existing streaming media transmission of remote medical system needs a proprietary network and equipment endorsement. As a result, it cannot be widely applied in real life. This article proposes a remote medical system based on crowd and participatory network which can be applied on traditional network. With the support of the system nodes' topological characteristics in social network, we build the crowd and participatory network model in which the nodes can collaborate unconsciously. Based on this communication model, we design and implement a distributed remote medical system, which don't need proprietary network and equipment. Our method provides a new idea to build remote medical system. The experiments shows that our system can effectively increase the average data transfer rate under the traditional network environment.
Keywords:streaming media transmission  crowd participatory network  remote medical  social network  distributed system
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