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 …
business opportunities and application services that are benefiting the common citizen. By …
Modeling, profiling, and debugging the energy consumption of mobile devices
Software energy profilers are the tools to measure the energy consumption of mobile
devices, applications running on those devices, and various hardware components. They …
devices, applications running on those devices, and various hardware components. They …
Mining energy-greedy api usage patterns in android apps: an empirical study
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 …
use of mobile devices. The high demand for features and improved user experience, given …
{PowerSpy}: Location Tracking Using Mobile Device Power Analysis
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 …
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 …
systems to automate commerce and facilitate the exchange, tracking and the provision of …
Software-based energy profiling of android apps: Simple, efficient and reliable?
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 …
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 …
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 …
issues of restricted resources, leading to poor user experiences on smartphones in terms of …
Design, implementation, and evaluation of energy-aware multi-path TCP
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 …
available paths through multiple network interfaces. MPTCP is particularly useful for mobile …
LEAF+ AIO: Edge-assisted energy-aware object detection for mobile augmented reality
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 …
applied in mobile devices because they are significantly energy-guzzling. In this paper, we …