Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods

To achieve a good estimate of the power consumption of an embedded system, including its firmware, is a crucial step in the development of systems with a severely constrained power supply. This is especially true for cases where the device is powered by a small battery or through energy harvesting....

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Autores principales:	Daniel Gis, Nils Büscher, Christian Haubelt
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	power-analysis power-model energy-aware inertial sensors evaluation hardware-in-the-loop Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/39ef7c12e8fd4cfd8e4bd41b3cf27f55
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id	oai:doaj.org-article:39ef7c12e8fd4cfd8e4bd41b3cf27f55
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spelling	oai:doaj.org-article:39ef7c12e8fd4cfd8e4bd41b3cf27f552021-11-25T18:22:43ZReal-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods10.3390/mi121112762072-666Xhttps://doaj.org/article/39ef7c12e8fd4cfd8e4bd41b3cf27f552021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1276https://doaj.org/toc/2072-666XTo achieve a good estimate of the power consumption of an embedded system, including its firmware, is a crucial step in the development of systems with a severely constrained power supply. This is especially true for cases where the device is powered by a small battery or through energy harvesting. The state-of-the-art approaches to measure or estimate the power consumption are formal methods, using power debugging tools with the real hardware or simulation based estimations. In the work at hand, a novel method to estimate the power consumption is proposed, it utilizes the sensor-in-the-loop architecture and enhancing it with a power estimation functionality. The proposed method combines the benefits of former methods, allowing for run-time analysis of the power-consumption in a reproducible way using recorded data without the need for power debugging hardware. In the experiments it is shown that, once set up, the proposed method is able to estimate the power consumption with an error of less than 1% compared to a power debugging hardware. Thus, the proposed method provides a reliable and fast way to estimate the systems power consumption.Daniel GisNils BüscherChristian HaubeltMDPI AGarticlepower-analysispower-modelenergy-awareinertial sensorsevaluationhardware-in-the-loopMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1276, p 1276 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	power-analysis power-model energy-aware inertial sensors evaluation hardware-in-the-loop Mechanical engineering and machinery TJ1-1570
spellingShingle	power-analysis power-model energy-aware inertial sensors evaluation hardware-in-the-loop Mechanical engineering and machinery TJ1-1570 Daniel Gis Nils Büscher Christian Haubelt Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
description	To achieve a good estimate of the power consumption of an embedded system, including its firmware, is a crucial step in the development of systems with a severely constrained power supply. This is especially true for cases where the device is powered by a small battery or through energy harvesting. The state-of-the-art approaches to measure or estimate the power consumption are formal methods, using power debugging tools with the real hardware or simulation based estimations. In the work at hand, a novel method to estimate the power consumption is proposed, it utilizes the sensor-in-the-loop architecture and enhancing it with a power estimation functionality. The proposed method combines the benefits of former methods, allowing for run-time analysis of the power-consumption in a reproducible way using recorded data without the need for power debugging hardware. In the experiments it is shown that, once set up, the proposed method is able to estimate the power consumption with an error of less than 1% compared to a power debugging hardware. Thus, the proposed method provides a reliable and fast way to estimate the systems power consumption.
format	article
author	Daniel Gis Nils Büscher Christian Haubelt
author_facet	Daniel Gis Nils Büscher Christian Haubelt
author_sort	Daniel Gis
title	Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
title_short	Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
title_full	Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
title_fullStr	Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
title_full_unstemmed	Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods
title_sort	real-time power analysis of smart sensors using advanced debugging methods
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/39ef7c12e8fd4cfd8e4bd41b3cf27f55
work_keys_str_mv	AT danielgis realtimepoweranalysisofsmartsensorsusingadvanceddebuggingmethods AT nilsbuscher realtimepoweranalysisofsmartsensorsusingadvanceddebuggingmethods AT christianhaubelt realtimepoweranalysisofsmartsensorsusingadvanceddebuggingmethods
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Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods

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