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On the effectiveness of congestion control mechanisms for remote healthcare monitoring system in IoT environment — A review

机译:物联网环境中远程医疗监控系统拥塞控制机制的有效性研究述评

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摘要

A progressive advancement in biosensors and wireless technology are the major contributors to the realization of continuous remote health monitoring system (RHMS). Wireless Body Area Network (WBAN) is part of this technology due to the deployment of multiple sensors such as Electrocardiogram (ECG) to collect vital body signals for processing and diagnosis. Among the benefits offered by this technology include remote monitoring of patient's health status and early detection of abnormalities in the collected signals. Once detected, several preventive measurements can be taken. However, this system needs to encounter some challenges in the wireless network such as delay, packet loss and throughput due to network congestion when transmitting and receiving a bulk of multiple data. Generally, the presence of these problems in transmitting vital body signals may result in incorrect medical diagnosing which can increase mortality rate and cause severe impact to the overall system's performance. Thus, a suitable design of congestion control mechanism is urgently needed in designing a reliable and efficient remote health monitoring system.
机译:生物传感器和无线技术的不断进步是实现连续远程健康监测系统(RHMS)的主要因素。由于部署了多个传感器(例如心电图(ECG))以收集生命体信号以进行处理和诊断,因此无线人体局域网(WBAN)是该技术的一部分。这项技术提供的好处包括远程监控患者的健康状况以及及早发现采集到的信号中的异常。一旦检测到,就可以采取几种预防措施。但是,该系统需要在无线网络中遇到一些挑战,例如,在发送和接收大量的多个数据时,由于网络拥塞而导致的延迟,数据包丢失和吞吐量。通常,在传输生命体信号时出现这些问题可能会导致错误的医学诊断,从而增加死亡率并严重影响整个系统的性能。因此,在设计可靠且有效的远程健康监测系统时,迫切需要适当的拥塞控制机制设计。

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