Energy-Efficient Solutions for Extending Battery Life in Mobile Devices: Challenges and Innovations

Energy conservation in mobile devices has become increasingly critical due to rising power consumption and the growing complexity of modern applications. As mobile devices like smartphones become integral to daily life, battery life has emerged as a key concern. With power-hungry applications such as GPS, 5G, video streaming, and location-based services, energy efficiency is paramount. This paper explores factors influencing energy consumption, strategies to reduce power usage, and solutions to extend battery life, including hardware and software optimizations, energy-efficient technologies, and machine learning-based power management. Additionally, it discusses challenges such as background application activity, idle power consumption, and hardware limitations while investigating innovative approaches like AI-powered optimization, energy harvesting, and edge computing. Finally, it outlines future research trends, emphasizing advancements in battery technologies, AI and IoT integration, and energy management systems for improvingmobile device energy efficiency.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-08
DOI
https://doi.org/10.5281/zenodo.14993786
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy-Efficient Solutions for Extending Battery Life in Mobile Devices: Challenges and Innovations

Zenodo (CERN European Organization for Nuclear Research)
Green IT and Sustainability
article

Energy-Efficient Solutions for Extending Battery Life in Mobile Devices: Challenges and Innovations

article en

Abstract

Energy conservation in mobile devices has become increasingly critical due to rising power consumption and the growing complexity of modern applications. As mobile devices like smartphones become integral to daily life, battery life has emerged as a key concern. With power-hungry applications such as GPS, 5G, video streaming, and location-based services, energy efficiency is paramount. This paper explores factors influencing energy consumption, strategies to reduce power usage, and solutions to extend battery life, including hardware and software optimizations, energy-efficient technologies, and machine learning-based power management. Additionally, it discusses challenges such as background application activity, idle power consumption, and hardware limitations while investigating innovative approaches like AI-powered optimization, energy harvesting, and edge computing. Finally, it outlines future research trends, emphasizing advancements in battery technologies, AI and IoT integration, and energy management systems for improvingmobile device energy efficiency.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 57%
Green IT and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.