Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Cognitive computing and wireless communications on the edge for healthcare service robots

S Wan, Z Gu, Q Ni - Computer Communications, 2020 - Elsevier
In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …

An edge traffic flow detection scheme based on deep learning in an intelligent transportation system

C Chen, B Liu, S Wan, P Qiao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

[HTML][HTML] Deep learning models for real-time human activity recognition with smartphones

S Wan, L Qi, X Xu, C Tong, Z Gu - Mobile Networks and Applications, 2020 - Springer
With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …

Large-scale many-objective deployment optimization of edge servers

B Cao, S Fan, J Zhao, S Tian, Z Zheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of the Internet of Vehicles (IoV) has made transportation systems into
intelligent networks. However, with the increase in vehicles, an increasing number of data …

Ppo2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems

H Gao, W Huang, T Liu, Y Yin… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …

Intelligent delay-aware partial computing task offloading for multiuser industrial internet of things through edge computing

X Deng, J Yin, P Guan, NN Xiong… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely
changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a …

[HTML][HTML] 5g support for industrial iot applications—challenges, solutions, and research gaps

P Varga, J Peto, A Franko, D Balla, D Haja, F Janky… - Sensors, 2020 - mdpi.com
Industrial IoT has special communication requirements, including high reliability, low
latency, flexibility, and security. These are instinctively provided by the 5G mobile …

Security and privacy issues in smart cities/industries: technologies, applications, and challenges

PM Rao, BD Deebak - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
The development of the Internet of things (IoT) is rapidly growing everywhere in our daily
lives. Advanced information and communication technologies play a vital role in the …