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A framework for the design of cost-effective wireless body area networks with efficient data collection

机译:具有高效数据收集的经济高效无线体积网络设计的框架

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As the demand for fast and efficient solutions in the field of Wireless Body Area Networks (WBANs) increases rapidly, specifically in the field of electronic health (e-health), different approaches have been realized to create systems capable of transmitting a patient's medical data to a control unit for storage and analysis. As some systems expand, more components require a more sophisticated algorithm to send different sensor data simultaneously. The amount of data that will be collected and sent out is typically large and may cause delays in communications and may also require intensive analysis at the destination cloud server. Our contribution in this paper is two-fold. Firstly, we outline the implementation of a cost-effective WBAN that connects a patient to both a cloud server and a smartphone application. Secondly, we propose an easy-to-use hardware implementation that selectively chooses the patient's data that should be sent to the storage unit (the cloud server) such that reduction in transmission delays and analysis complexity are achieved. The main motivation behind this work is to devise a framework for designing WBANs that are efficient in terms of cost and data collection.
机译:随着对无线体积网络(WBANS)领域的快速高效解决方案的需求迅速增加,特别是在电子健康(电子健康)领域,已经实现了不同的方法来创建能够传输患者的医疗数据的系统到控制单元进行存储和分析。随着一些系统展开,更多组件需要更复杂的算法同时发送不同的传感器数据。将收集和发送的数据量通常很大,可能导致通信延迟,并且还可能在目标云服务器上进行密集分析。我们本文的贡献是两倍。首先,我们概述了一个经济高效的WBAN的实现,该WBAN将患者连接到云服务器和智能手机应用程序。其次,我们提出了一种易于使用的硬件实现,可以选择性地选择患者的数据,该数据应该被发送到存储单元(云服务器),从而实现传输延迟和分析复杂性的降低。这项工作背后的主要动机是制定设计在成本和数据收集方面有效的WBANS的框架。

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