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Adaptive Rule Engine Based Iot Enabled Remote Health Care Data Acquisition and Smart Transmission System

机译:基于自适应规则引擎的物联网远程医疗数据采集和智能传输系统

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摘要

In the remote health care monitoring applications, the collected medical data from bio-medical sensors should be transmitted to the nearest gateway for further processing. Transmission of data contributes to a significant amount of power consumption by the transmitter and increase in the network traffic. In this paper we propose a low complex rule engine based health care data acquisition and smart transmission system architecture, which uses IEEE 802.15.4 standard for transferring data to the gateway. The power consumed and the network traffic generated by the device can be reduced by event based transmission rather than continuous transmission of data. We developed two different rule engines: static rule engine and adaptive rule engine, which decides whether to transmit the collected data based on the important features extracted from the data, thereby achieving power saving. In this paper, ECG data acquisition and transmission architecture is considered. The metrics used for performance analysis are the amount of power saving and reduction in network traffic. It is shown that the proposed rule engine gives a significant reduction in energy consumption and network traffic generated
机译:在远程医疗监控应用中,应将从生物医学传感器收集的医学数据传输到最近的网关以进行进一步处理。数据传输会导致发射机大量消耗功率,并增加网络流量。在本文中,我们提出了一种基于低复杂度规则引擎的医疗数据采集和智能传输系统架构,该架构使用IEEE 802.15.4标准将数据传输到网关。可以通过基于事件的传输而不是连续的数据传输来减少设备消耗的功率和网络流量。我们开发了两种不同的规则引擎:静态规则引擎和自适应规则引擎,它们根据从数据中提取的重要特征来决定是否传输收集的数据,从而实现了节能。本文考虑了ECG数据采集和传输架构。用于性能分析的指标是节电量和网络流量的减少。结果表明,所提出的规则引擎显着降低了能耗和生成的网络流量

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