Recent advances in wearable sensing technologies

AJ Perez, S Zeadally - Sensors, 2021 - mdpi.com
Wearable sensing technologies are having a worldwide impact on the creation of novel
business opportunities and application services that are benefiting the common citizen. By …

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 …

Mining energy-greedy api usage patterns in android apps: an empirical study

M Linares-Vásquez, G Bavota… - Proceedings of the 11th …, 2014 - dl.acm.org
Energy consumption of mobile applications is nowadays a hot topic, given the widespread
use of mobile devices. The high demand for features and improved user experience, given …

{PowerSpy}: Location Tracking Using Mobile Device Power Analysis

Y Michalevsky, A Schulman, GA Veerapandian… - 24th USENIX Security …, 2015 - usenix.org
Modern mobile platforms like Android enable applications to read aggregate power usage
on the phone. This information is considered harmless and reading it requires no user …

Secure and privacy-preserving crowdsensing using smart contracts: Issues and solutions

AJ Perez, S Zeadally - Computer Science Review, 2022 - Elsevier
The advent of Blockchain and smart contracts is empowering many technologies and
systems to automate commerce and facilitate the exchange, tracking and the provision of …

Software-based energy profiling of android apps: Simple, efficient and reliable?

D Di Nucci, F Palomba, A Prota… - 2017 IEEE 24th …, 2017 - ieeexplore.ieee.org
Modeling the power profile of mobile applications is a crucial activity to identify the causes
behind energy leaks. To this aim, researchers have proposed hardware-based tools as well …

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 …

Design, implementation, and evaluation of energy-aware multi-path TCP

Y Lim, YC Chen, EM Nahum, D Towsley… - Proceedings of the 11th …, 2015 - dl.acm.org
Multi-Path TCP (MPTCP) is a new transport protocol that enables systems to exploit
available paths through multiple network interfaces. MPTCP is particularly useful for mobile …

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 …