Energy-Efficient eHealth Monitoring with LPWAN

This paper presents the design and development of a novel tool for collecting and transmitting clinical data over a Low Power Wide Area Network (LPWAN). The tool features custom-designed integration boards and power management mechanisms tailored explicitly for the cyclical operation of the integrated technologies. Prioritizing effective data transmission while minimizing energy consumption-a critical factor in healthcare applications-the tool employs two key strategies: (1) on/off circuitry for GPS and ECG components to conserve power, and (2) an adaptive power protocol that leverages message acknowledgments and the Received Signal Strength Indicator (RSSI) for dynamic transmission power adjustments. Real-world experiments conducted in a relatively dense environment provided valuable insights into the system's performance under realistic conditions, showing this to be a promising approach to saving energy and optimizing eHealth applications within cyber-physical distributed systems. The fully operational tool now serves as a valuable testbed for further developments in the e-health domain.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/sbesc65055.2024.10771908
Citations
3
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.55
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article

Energy-Efficient eHealth Monitoring with LPWAN

Raimundo J. de A. Macêdo, Marcelo Alves Guimarães
3 citations
Wireless Body Area Networks
0.55
article

Energy-Efficient eHealth Monitoring with LPWAN

Raimundo J. de A. Macêdo, Marcelo Alves Guimarães
article en
3 citations

Abstract

This paper presents the design and development of a novel tool for collecting and transmitting clinical data over a Low Power Wide Area Network (LPWAN). The tool features custom-designed integration boards and power management mechanisms tailored explicitly for the cyclical operation of the integrated technologies. Prioritizing effective data transmission while minimizing energy consumption-a critical factor in healthcare applications-the tool employs two key strategies: (1) on/off circuitry for GPS and ECG components to conserve power, and (2) an adaptive power protocol that leverages message acknowledgments and the Received Signal Strength Indicator (RSSI) for dynamic transmission power adjustments. Real-world experiments conducted in a relatively dense environment provided valuable insights into the system's performance under realistic conditions, showing this to be a promising approach to saving energy and optimizing eHealth applications within cyber-physical distributed systems. The fully operational tool now serves as a valuable testbed for further developments in the e-health domain.

Universidade Federal da Bahia (BR), Southwest Bahia State University (BR)
Affordable and clean energy
Openalex Percentile: Top 36%
Wireless Body Area Networks
0.55
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