Smart Healthcare Monitoring system using Wireless Sensor Networks

Wireless sensor networks (WSNs) have the potential to revolutionize healthcare by allowing for the continuous monitoring of patients and the rapid response to medical emergencies. In this study, we detail the planning and execution of a WSN-based smart healthcare monitoring system that can keep tabs on your vitals around the clock, including your pulse, oxygen saturation, blood pressure, and temperature. Every sensor node communicates with a central base station (sink) to analyze and act upon data sent by medical sensors and microcontrollers. Utilizing the DMAC (Data-Gathering MAC) protocol, which improves energy economy and reduces latency via staggered duty cycles, is a crucial aspect of the system. Focusing on the phases of shared and exclusive bandwidth between nodes, the research emphasizes the temporal dynamics of node transmissions. The system has been tested and shown to be reliable in data collecting, energy management, and network coordination via simulations. This shows that it has the capacity to be used in healthcare applications that are both scalable and responsive.

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Publication Details

Journal
Journal of Advances in Science and Technology
Published
2025-03-01
DOI
https://doi.org/10.29070/20zz6v82
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Smart Healthcare Monitoring system using Wireless Sensor Networks

Nidhi Kashyap, Sushil Kumar Kashyap
Journal of Advances in Science and Technology
Smart Systems and Machine Learning
article

Smart Healthcare Monitoring system using Wireless Sensor Networks

Nidhi Kashyap, Sushil Kumar Kashyap
article en

Abstract

Wireless sensor networks (WSNs) have the potential to revolutionize healthcare by allowing for the continuous monitoring of patients and the rapid response to medical emergencies. In this study, we detail the planning and execution of a WSN-based smart healthcare monitoring system that can keep tabs on your vitals around the clock, including your pulse, oxygen saturation, blood pressure, and temperature. Every sensor node communicates with a central base station (sink) to analyze and act upon data sent by medical sensors and microcontrollers. Utilizing the DMAC (Data-Gathering MAC) protocol, which improves energy economy and reduces latency via staggered duty cycles, is a crucial aspect of the system. Focusing on the phases of shared and exclusive bandwidth between nodes, the research emphasizes the temporal dynamics of node transmissions. The system has been tested and shown to be reliable in data collecting, energy management, and network coordination via simulations. This shows that it has the capacity to be used in healthcare applications that are both scalable and responsive.

Journal of Advances in Science and TechnologyVol. 22(1)
Sarguja University (IN)
Openalex Percentile: Top 86%
Smart Systems and Machine Learning
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Smart Healthcare Monitoring system using Wireless Sensor Networks — Nidhi Kashyap, Sushil Kumar Kashyap · Journal of Advances in Science and Technology (2025) | TGRS Research Map | TGRS