A review of mobile crowdsourcing architectures and challenges: Toward crowd-empowered internet-of-things

J Phuttharak, SW Loke - Ieee access, 2018 - ieeexplore.ieee.org
Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …

UAV-assisted multi-access computation offloading via hybrid NOMA and FDMA in marine networks

M Dai, Y Wu, L Qian, Z Su, B Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of marine networks, there have been growing demands for
computation-intensive and delay-sensitive marine applications and services. However, the …

QoS-aware offloading based on communication-computation resource coordination for 6G edge intelligence

C Wang, X Yu, L Xu, F Jiang, W Wang… - China …, 2023 - ieeexplore.ieee.org
Driven by the demands of diverse artificial intelligence (AI)-enabled application, Mobile
Edge Computing (MEC) is considered one of the key technologies for 6G edge intelligence …

Communication, computation, and caching resource sharing for the internet of things

M Tang, L Gao, J Huang - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
The Internet of Things connects a large number of smart mobile devices with the Internet,
where these devices are embedded with often limited communication, computation, and …

Joint sponsor scheduling in cellular and edge caching networks for mobile video delivery

L Sun, H Pang, L Gao - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
The explosive growth of mobile video traffic introduces new challenges for the network
infrastructure. Edge caching, as one of the key technologies in 5G wireless networks, has …

Crowd-MECS: A novel crowdsourcing framework for mobile edge caching and sharing

C Jiang, L Gao, T Wang, Y Jiang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Crowdsourced mobile edge caching and sharing (Crowd-MECS) is emerging as a
promising content delivery paradigm by employing a large crowd of existing edge devices …

Adaptive bitrate video streaming in non-orthogonal multiple access networks

J Zhang, H Wu, X Tao, X Zhang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Facing the ever-increasing demand for high quality video streaming and the dramatic
variations of wireless network environment, adaptive bitrate video streaming (ABS) emerges …

On economic viability of mobile edge caching

C Jiang, L Gao, T Wang, J Luo… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Mobile edge caching is a promising approach for enhancing content delivery efficiency and
alleviating backbone network burden, via caching popular contents at network edge devices …

Quality Evaluation of Online Mental Health Education Based on Reinforcement Learning in the Pandemic

W Zhang - Discrete Dynamics in Nature and Society, 2021 - Wiley Online Library
The COVID‐19 pandemic has become one of the biggest major health crises reported due
its massive impact on many countries. From mental health experts, we know that we cannot …

A multi-dimensional resource crowdsourcing framework for mobile edge computing

Y Pan, L Gao, J Luo, T Wang… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising solution to tackle the upcoming computing
tsunami in 5G era, by effectively utilizing the idle resource at the mobile edge. In this work …