Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

A survey on mobility-induced service migration in the fog, edge, and related computing paradigms

Z Rejiba, X Masip-Bruin, E Marín-Tordera - ACM Computing Surveys …, 2019 - dl.acm.org
With the advent of fog and edge computing paradigms, computation capabilities have been
moved toward the edge of the network to support the requirements of highly demanding …

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

H Wang, J Xie - 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 …

Enabling QoE support for interactive applications over mobile edge with high user mobility

X Shang, Y Huang, Y Mao, Z Liu… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The fast development of mobile edge computing (MEC) and service virtualization brings new
opportunities to the deployment of interactive applications, eg, VR education, stream …

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

H Wang, BG Kim, J Xie, 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 …

Time efficient offloading optimization in automotive multi-access edge computing networks using mean-field games

Y Kang, H Wang, BG Kim, J Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Emerging connected vehicular services, such as intelligent driving and high-definition (HD)
map, are gaining increasing interest with the fast development of multi-access edge …

Fog computing for augmented reality: Trends, challenges and opportunities

SM Salman, TA Sitompul… - … Conference on Fog …, 2020 - ieeexplore.ieee.org
Augmented reality applications are computationally intensive and have latency
requirements in the range of 15-20 milliseconds. Fog computing addresses these …

Energy drain of the object detection processing pipeline for mobile devices: Analysis and implications

H Wang, BG Kim, J Xie, Z Han - IEEE Transactions on Green …, 2020 - ieeexplore.ieee.org
Applying deep learning to object detection provides the capability to accurately detect and
classify complex objects in the real world. However, currently, few mobile applications use …

E-auto: A communication scheme for connected vehicles with edge-assisted autonomous driving

H Wang, BG Kim, J Xie, Z Han - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
With the rapid advancement of automobile industry, autonomous driving in connected
vehicles are expected to be the key technology to satisfy the expansion of human demands …

How is energy consumed in smartphone deep learning apps? Executing locally vs. remotely

H Wang, BG Kim, J Xie, Z Han - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Applying deep learning to object detection provides the capability to accurately detect and
classify complex objects in the real world. However, currently, few mobile applications use …