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Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner.
Cosmin C Dobrescu1, Iván González1, David Carneros-Prado1
1Departament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.
Sensors (Basel, Switzerland)
|August 10, 2024
Summary
This study presents a new lightweight storage system for wearable devices, significantly boosting energy efficiency and device autonomy for continuous health monitoring. The system uses Time Block Data units to streamline data management and reduce energy consumption.
Area of Science:
- Computer Science
- Electrical Engineering
- Biomedical Engineering
Background:
- Wearable devices require efficient data storage for long-term monitoring.
- Existing storage systems often consume significant energy, limiting device autonomy.
- Optimizing energy efficiency is crucial for continuous health data acquisition.
Purpose of the Study:
- To introduce a lightweight storage system for wearable devices.
- To enhance energy efficiency and autonomy in long-term monitoring applications.
- To improve data management for periodic recordings.
Main Methods:
- Utilized Direct Memory Access (DMA) and Serial Peripheral Interface (SPI) protocol.
- Implemented Time Block Data (TBD) units for data organization, replacing traditional file systems.
- Conducted comparative analysis against existing file systems.
Main Results:
- Achieved significant reductions in energy consumption.
- Demonstrated marked improvements in write speed compared to existing file systems.
- Validated enhanced device autonomy for long-term data acquisition.
Conclusions:
- The proposed lightweight storage system is effective for wearable devices.
- The Time Block Data (TBD) approach reduces control overhead and streamlines data management.
- The system offers a viable solution for improving performance in health monitoring and long-term data acquisition scenarios.
