Framework of IoT Extensive Routing Concentration by using Smart Healthcare Sensing Devices
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...
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| Published in: | 2021 International Conference on Computational Performance Evaluation (ComPE) pp. 480 - 484 |
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| Main Authors: | , , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01-12-2021
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | 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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| DOI: | 10.1109/ComPE53109.2021.9751810 |