Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices

IoT devices with sensors and actuators are frequently deployed in environments without access to the power grid. These devices are battery powered and might make use of energy harvesting if battery lifetime is too limited. This article focuses on automatically adapting the duty cycle frequency to the predicted available solar energy so that a continuous operation of IoT applications is guaranteed. The implementation is based on a low-cost solar control board that is integrated with the Serverless IoT Framework (SIF), which provides an event-based programming paradigm for microcontroller-based IoT devices. The paper presents a case study where the IoT device sleep time is pro-actively adapted to a predicted sequence of cloudy days to guarantee continuous operation.

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Publication Details

Journal
Sensors
Published
2025-07-19
DOI
https://doi.org/10.3390/s25144500
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices

Michael Gerndt, Shajulin Benedict, Isaac David Núñez Araya, Mustafa Ispir
Sensors
Green IT and Sustainability
article

Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices

Michael Gerndt, Shajulin Benedict, Isaac David Núñez Araya, Mustafa Ispir
article en

Abstract

IoT devices with sensors and actuators are frequently deployed in environments without access to the power grid. These devices are battery powered and might make use of energy harvesting if battery lifetime is too limited. This article focuses on automatically adapting the duty cycle frequency to the predicted available solar energy so that a continuous operation of IoT applications is guaranteed. The implementation is based on a low-cost solar control board that is integrated with the Serverless IoT Framework (SIF), which provides an event-based programming paradigm for microcontroller-based IoT devices. The paper presents a case study where the IoT device sleep time is pro-actively adapted to a predicted sequence of cloudy days to guarantee continuous operation.

SensorsVol. 25(14)
Government Medical College (IN), Rubber Board (IN), Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 84%
Green IT and Sustainability
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