Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

Edge intelligence: The confluence of edge computing and artificial intelligence

S Deng, H Zhao, W Fang, J Yin… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products

X Guo, Z Zhang, L Qi, S Liu, Y Tang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …

Optimal application deployment in resource constrained distributed edges

S Deng, Z **ang, J Taheri… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
The dramatically increasing of mobile applications make it convenient for users to complete
complex tasks on their mobile devices. However, the latency brought by unstable wireless …

A PID-incorporated latent factorization of tensors approach to dynamically weighted directed network analysis

H Wu, X Luo, MC Zhou, MJ Rawa… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
A large-scale dynamically weighted directed network (DWDN) involving numerous entities
and massive dynamic interaction is an essential data source in many big-data-related …

Mobility-aware and migration-enabled online edge user allocation in mobile edge computing

Q Peng, Y **a, Z Feng, J Lee, C Wu… - … Conference on Web …, 2019 - ieeexplore.ieee.org
The rapid development of mobile communication technologies prompts the emergence of
mobile edge computing (MEC). As the key technology toward 5th generation (5G) wireless …

A method based on the combination of laxity and ant colony system for cloud-fog task scheduling

J Xu, Z Hao, R Zhang, X Sun - IEEE access, 2019 - ieeexplore.ieee.org
In today's Internet of Things research community, Cloud-fog framework is a potential
technology for Internet of Things to support energy consumption of an IoT system and delay …

Offloading decision methods for multiple users with structured tasks in edge computing for smart cities

L Kuang, T Gong, S OuYang, H Gao, S Deng - Future Generation …, 2020 - Elsevier
An edge computing system is an emergent architecture for providing computing, storage,
control, and networking abilities, that is an important technology to realize Internet of Things …

A bi-population cooperative optimization algorithm assisted by an autoencoder for medium-scale expensive problems

M Cui, L Li, MC Zhou, J Li, A Abusorrah… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
This study presents an autoencoder-embedded optimization (AEO) algorithm which involves
a bi-population cooperative strategy for medium-scale expensive problems (MEPs). A huge …

Comparing fog solutions for energy efficiency in wireless networks: Challenges and opportunities

I Al Ridhawi, M Aloqaily… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Intelligent vehicular wireless networks and services have witnessed great advancements in
both technology and management capabilities. Vehicular networks commenced as simple …