Energy-Efficient and Reliable Patient Monitoring System Using BLE and LPWAN for Real-Time Health Applications

This study introduces a patient monitoring system that is both energy-efficient and reliable. The system utilizes connectionless wireless communication protocols, specifically Bluetooth Low Energy and Low-Power Wide-Area Network. The system's power optimization strategies for real-time health monitoring include adaptive duty cycling and dynamic voltage and frequency scaling. Reliability is improved by hybrid solutions that integrate Automatic Repeat reQuest, Forward Error Correction, and time division multiple access. In comparison to conventional Wi-Fi and Zigbee systems, the system is evaluated with a packet loss rate of less than 1% and a 50% reduction in power consumption. Scalable remote monitoring applications with latency of 10ms and 100ms are enabled by the system's compatibility with both BLE and LPWAN.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icscna63714.2024.10864209
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

Energy-Efficient and Reliable Patient Monitoring System Using BLE and LPWAN for Real-Time Health Applications

S. Thirumalai Kumaran, P.M Samyuktha, M.R Bhavyashree
1 citations
IoT and Edge/Fog Computing
0.35
article

Energy-Efficient and Reliable Patient Monitoring System Using BLE and LPWAN for Real-Time Health Applications

S. Thirumalai Kumaran, P.M Samyuktha, M.R Bhavyashree
article en
1 citations

Abstract

This study introduces a patient monitoring system that is both energy-efficient and reliable. The system utilizes connectionless wireless communication protocols, specifically Bluetooth Low Energy and Low-Power Wide-Area Network. The system's power optimization strategies for real-time health monitoring include adaptive duty cycling and dynamic voltage and frequency scaling. Reliability is improved by hybrid solutions that integrate Automatic Repeat reQuest, Forward Error Correction, and time division multiple access. In comparison to conventional Wi-Fi and Zigbee systems, the system is evaluated with a packet loss rate of less than 1% and a 50% reduction in power consumption. Scalable remote monitoring applications with latency of 10ms and 100ms are enabled by the system's compatibility with both BLE and LPWAN.

Saveetha University (IN)
Affordable and clean energy
Openalex Percentile: Top 34%
IoT and Edge/Fog Computing
0.35
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