Energy-Efficiency Techniques for Embedded Cyber-Physical Systems: A Review

Battery-powered and energy-harvesting embedded devices need their energy use controlled carefully. This review covers the main hardware and software techniques for reducing energy in embedded processors, with a focus on dynamic power management and voltage/frequency scaling. No new experimental data are reported. An AI language model (Claude, Anthropic) was used in preparing this manuscript.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23917558
Primary Topic
Energy Efficiency in Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy-Efficiency Techniques for Embedded Cyber-Physical Systems: A Review

Sahetnur Durdyyev, Yslam Orazov
Zenodo (CERN European Organization for Nuclear Research)
Energy Efficiency in Computing
article

Energy-Efficiency Techniques for Embedded Cyber-Physical Systems: A Review

Sahetnur Durdyyev, Yslam Orazov
article en

Abstract

Battery-powered and energy-harvesting embedded devices need their energy use controlled carefully. This review covers the main hardware and software techniques for reducing energy in embedded processors, with a focus on dynamic power management and voltage/frequency scaling. No new experimental data are reported. An AI language model (Claude, Anthropic) was used in preparing this manuscript.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Energy Efficiency in Computing
DOIOpen Access PDFOpenAlex
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Energy-Efficiency Techniques for Embedded Cyber-Physical Systems: A Review — Sahetnur Durdyyev, Yslam Orazov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS