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Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner. | LitMetric

AI Article Synopsis

  • The study presents a lightweight storage system designed for wearable devices to improve energy efficiency in continuous health monitoring applications.
  • It employs techniques like Direct Memory Access and Serial Peripheral Interface to enhance data transfer efficiency and reduce energy usage, resulting in better device autonomy.
  • By organizing data into Time Block Data units instead of traditional files, the system greatly minimizes control overhead, demonstrating significant improvements in energy efficiency and write speed compared to existing file systems.

Article Abstract

This study introduces a lightweight storage system for wearable devices, aiming to optimize energy efficiency in long-term and continuous monitoring applications. Utilizing Direct Memory Access and the Serial Peripheral Interface protocol, the system ensures efficient data transfer, significantly reduces energy consumption, and enhances the device autonomy. Data organization into Time Block Data (TBD) units, rather than files, significantly diminishes control overhead, facilitating the streamlined management of periodic data recordings in wearable devices. A comparative analysis revealed marked improvements in energy efficiency and write speed over existing file systems, validating the proposed system as an effective solution for boosting wearable device performance in health monitoring and various long-term data acquisition scenarios.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11315031PMC
http://dx.doi.org/10.3390/s24154982DOI Listing

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