海报:可扩展远程医疗系统的网络模型

R. Pandey, R. Mishra
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引用次数: 0

摘要

智能手机包含了医疗保健、社交网络等领域的应用程序,并且需要大量的网络数据连接才能进行操作。网络服务主要受无线信号质量和小区内拥塞的影响。NeSen[1][2]是一种集成在移动终端(Mobile Terminal, MT)端的工具,用于测量蜂窝网络的链路质量和稳定性所对应的网络特性。NeSen能够评估所有接口的运营商的静态和动态网络参数。用NeSen捕获的网络参数包括信号强度、无线电类型、小区位置Id (CID)、位置区号(LAC)、运营商名称、误码率(BER)等,以及日期和时间。这些参数的值会实时记录在MT的文件系统中。值得一提的是,从试验中观察到的是“除了一天的细胞停留时间少于10分钟,通常在01分钟左右。甚至可以在毫秒内观察到网络单元的转换。记录足够数量的垂直交接”。上述观察表明,一部手机在一段时间内从多个基站(BS)获得服务。这引起了人们对基站过境行为的关注。
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Poster: Network Model of Scalable Remote Healthcare Systems
Smart Phones are packed up with applications in the domain of healthcare, social networking etc and require substantial network data connectivity for operations. Network services are primarily affected by the quality of radio signals and congestion in the cell. NeSen [1][2] is a tool incorporated at the Mobile Terminal (MT) end to measure the network characteristics corresponding to link quality and stability of cellular networks. NeSen is capable of assessing both static and dynamic Network parameters of operators of all interfaces. The network parameters captured with NeSen are signal strength, radio type, Cell Location Id (CID), Location Area Code (LAC), operator name, Bit Error Rate (BER) etc. along with date and time. The values of these parameters are logged at the file systems of the MT in real time. The worth mentioning observations from the trials is "Except for single day cell dwell time is less the 10 min and often around 01 minute. Network cell transitions are observed even in milliseconds. Vertical handoffs in sufficient number are recorded". Aforementioned observation manifest that a phone gets serviced from multiple Base Stations (BS) within a space of time. This draws the attention towards the transiting behavior of Base Station.
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