Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage

PKD Pramanik, N Sinhababu, B Mukherjee… - ieee …, 2019 - ieeexplore.ieee.org
The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …

Modeling, profiling, and debugging the energy consumption of mobile devices

MA Hoque, M Siekkinen, KN Khan, Y **ao… - ACM Computing …, 2015 - dl.acm.org
Software energy profilers are the tools to measure the energy consumption of mobile
devices, applications running on those devices, and various hardware components. They …

User preference based energy-aware mobile AR system with edge computing

H Wang, J **e - IEEE INFOCOM 2020-IEEE conference on …, 2020 - ieeexplore.ieee.org
The advancement in deep learning and edge computing has enabled intelligent mobile
augmented reality (MAR) on resource limited mobile devices. However, today very few deep …

A smartphone perspective on computation offloading—A survey

QH Nguyen, F Dressler - Computer Communications, 2020 - Elsevier
Computation offloading has emerged as one of the promising approaches to address the
issues of restricted resources, leading to poor user experiences on smartphones in terms of …

Mobile computation offloading for application throughput fairness and energy efficiency

Y Kim, HW Lee, S Chong - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
Mobile computation offloading is emerging as a promising technology to enhance the
computation power of mobile devices by borrowing processing resources from the cloud …

An empirical LTE smartphone power model with a view to energy efficiency evolution

M Lauridsen, L Noël, TB Sørensen… - Intel Technology …, 2014 - vbn.aau.dk
Smartphone users struggle with short battery life, and this affects their device satisfaction
level and usage of the network. To evaluate how chipset manufacturers and mobile network …

Energy‐Efficient Unmanned Aerial Vehicle (UAV) Surveillance Utilizing Artificial Intelligence (AI)

HT Do, LH Truong, MT Nguyen… - Wireless …, 2021 - Wiley Online Library
Recently, unmanned aerial vehicles (UAVs) enhance connectivity and accessibility for
civilian and military applications. A group of UAVs with on‐board cameras usually monitors …

LEAF+ AIO: Edge-assisted energy-aware object detection for mobile augmented reality

H Wang, BG Kim, J **e, Z Han - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
Today very few deep learning-based mobile augmented reality (MAR) applications are
applied in mobile devices because they are significantly energy-guzzling. In this paper, we …

EcoMobiFog–design and dynamic optimization of a 5G mobile-fog-cloud multi-tier ecosystem for the real-time distributed execution of stream applications

E Baccarelli, M Scarpiniti, A Momenzadeh - IEEE Access, 2019 - ieeexplore.ieee.org
The emerging 5G paradigm will enable multi-radio smartphones to run high-rate stream
applications. However, since current smartphones remain resource and battery-limited, the …

An overview of MAC energy-saving mechanisms in Wi-Fi

E Guérin, T Begin, IG Lassous - Computer Communications, 2023 - Elsevier
The IEEE 802.11 standard has rapidly become the de facto standard for Wireless Local Area
Networks (WLANs) under the commercial name Wi-Fi. Despite IEEE's regular efforts to …