Framework of IoT Extensive Routing Concentration by using Smart Healthcare Sensing Devices

R. Praveena, T. R. Ganesh Babu, S. Jayanthiswari, S. Ramya, D. Kumaar, J. Rangarajan
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Abstract

The topology of the Internet of Things (IoT) is recently used to gather in customer-centered e-health or consumer health care systems physics, physiology, critical signs from patients. Various medical devices have been connected to patients in these healthcare systems to gather critical signals from those that are tracked. There is an issue of congestion in the data collection process on the Wireless Sensor Network (WSN). The result is a decline in efficiency and loss of the IoT enabled WSN on missed packets. This article suggests the distributed IoT-enabled WSN congestion management algorithm to efficiently overcome convergence in healthcare systems. In its priority data routing policy, the suggested methodology relieves congestion. This paper also provides a priority queue-based schedule for increased reliability. Mathematically, we investigate and test the properties of the proposed congestion reduction system by detailed simulations and real- life experiments. An early warning device can be used to monitor elevated cardiac rhythm, blood pressure, ECG, EMG for state-of-the-art diagnostics in the hospital/home care setting.
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使用智能医疗传感设备的物联网广泛路由集中框架
物联网(IoT)的拓扑结构最近被用于收集以客户为中心的电子医疗或消费者医疗保健系统的物理,生理,患者的关键体征。在这些医疗保健系统中,各种医疗设备已经连接到患者身上,以从被跟踪的患者那里收集关键信号。无线传感器网络(WSN)在数据采集过程中存在拥塞问题。其结果是效率下降和丢失数据包时启用物联网的WSN的损失。本文提出了分布式物联网支持的WSN拥塞管理算法,以有效地克服医疗保健系统中的融合。在其优先级数据路由策略中,建议的方法缓解了拥塞。本文还提供了一个基于优先级队列的调度来提高可靠性。在数学上,我们通过详细的模拟和现实生活实验来研究和测试所提出的减少拥塞系统的性能。早期预警装置可用于监测升高的心律、血压、心电图、肌电图,用于医院/家庭护理环境中最先进的诊断。
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