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 …

Survey on placement methods in the edge and beyond

B Sonkoly, J Czentye, M Szalay… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …

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 …

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 offloading for collaborative smart city services in edge computing

X Xu, Q Huang, X Yin, M Abbasi… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Smart city is a fast-developing system enabled by Internet of Things (IoT) with massive
collaborative services (eg, intelligent transportation and collaborative diagnosis). Generally …

[HTML][HTML] Network attacks detection methods based on deep learning techniques: a survey

Y Wu, D Wei, J Feng - Security and Communication Networks, 2020 - hindawi.com
With the development of the fifth-generation networks and artificial intelligence technologies,
new threats and challenges have emerged to wireless communication system, especially in …

Traffic flow prediction over muti-sensor data correlation with graph convolution network

W Li, X Wang, Y Zhang, Q Wu - Neurocomputing, 2021 - Elsevier
Accurate and real-time traffic flow prediction plays an important role in improving the traffic
planning capability of intelligent traffic systems. However, traffic flow prediction is a very …

A review on trust management in fog/edge computing: Techniques, trends, and challenges

M Nikravan, MH Kashani - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing provides software, infrastructure, and platform as services and reduces the
cost of usage for cloud customers. Recently, a system architecture called Fog and Edge …

Trust management for internet of things: A comprehensive study

L Wei, Y Yang, J Wu, C Long… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Driven by the rapid development of the Internet of Things (IoT) technology, the issue of trust
has become increasingly apparent and received considerable scholarly attention in recent …

[HTML][HTML] Artificial intelligence for securing IoT services in edge computing: a survey

Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - hindawi.com
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …