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

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

Paper in proceedings outside WoS and Scopus

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.

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.

Internet of Things, Low Power, Energy Efficiency, DYNAMIC, Electronic Design, Energy Harvesting

Internet of Things, Low Power, Energy Efficiency, DYNAMIC, Electronic Design, Energy Harvesting

LOJDA, J.; STRNADEL, J.; SMRŽ, P.; ŠIMEK, V.

2025

13.11.2024

Institute of Electrical and Electronics Engineers

Yerevan

979-8-3315-1576-8

2024 IEEE East-West Design and Test Symposium, EWDTS 2024 - Proceedings

1

6

6

https://www.fit.vut.cz/research/publication/13246/

Certificate of Presentation EWDTS 2024 Diploma