First Steps Towards Unified Low-Power IoT Design: The “DYNAMIC” Framework

This paper presents the development of a framework named DYNAMIC (Dynamic Management Interface for Power Consumption), designed for the dynamic selection of alternative code implementations to minimize energy consumption and extend battery life. The proposed solution works effectively in situations where the device uses energy harvesting. In such cases, the method plans the device power consumption to match the available energy, minimizing the impact on device operation. It is important to note that each device utilizing our framework will be planning its energy budget in-field (and during run time), so each device is optimized within a few days based on its environment of usage. In the experimental section, we present simulation results of experimental power management algorithms for our framework. The results indicate that for our particular study and energy harvester, it was possible to dynamically adjust power consumption so that the user did not notice a significant difference in device performance while achieving a balanced energy budget - under simulated conditions and disregarding battery lifespan, potentially allowing for indefinite operation.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ewdts63723.2024.10873778
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.70
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article

First Steps Towards Unified Low-Power IoT Design: The “DYNAMIC” Framework

Jakub Lojda, Pavel Smrž, Václav Šimek, Josef Strnadel
2 citations
IoT and Edge/Fog Computing
0.70
article

First Steps Towards Unified Low-Power IoT Design: The “DYNAMIC” Framework

Jakub Lojda, Pavel Smrž, Václav Šimek, Josef Strnadel
article en
2 citations

Abstract

This paper presents the development of a framework named DYNAMIC (Dynamic Management Interface for Power Consumption), designed for the dynamic selection of alternative code implementations to minimize energy consumption and extend battery life. The proposed solution works effectively in situations where the device uses energy harvesting. In such cases, the method plans the device power consumption to match the available energy, minimizing the impact on device operation. It is important to note that each device utilizing our framework will be planning its energy budget in-field (and during run time), so each device is optimized within a few days based on its environment of usage. In the experimental section, we present simulation results of experimental power management algorithms for our framework. The results indicate that for our particular study and energy harvester, it was possible to dynamically adjust power consumption so that the user did not notice a significant difference in device performance while achieving a balanced energy budget - under simulated conditions and disregarding battery lifespan, potentially allowing for indefinite operation.

Brno University of Technology (CZ)
Openalex Percentile: Top 25%
IoT and Edge/Fog Computing
0.70
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First Steps Towards Unified Low-Power IoT Design: The “DYNAMIC” Framework — Jakub Lojda, Pavel Smrž, et al. · (2024) | TGRS Research Map | TGRS