Resource scheduling in edge computing: A survey
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 …
networks, the surging demand for data communications and computing calls for the …
Application of MADM methods in Industry 4.0: A literature review
Industry 4.0 has received inordinate attention from the business as well as research
communities. Along with the development of Industry 4.0 applications and the diversity of …
communities. Along with the development of Industry 4.0 applications and the diversity 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 …
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
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 …
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
Network attacks detection methods based on deep learning techniques: a survey
With the development of the fifth‐generation networks and artificial intelligence
technologies, new threats and challenges have emerged to wireless communication system …
technologies, new threats and challenges have emerged to wireless communication system …
Survey on placement methods in the edge and beyond
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 …
central cloud infrastructure with execution environments close to the users in terms of …
Intelligent offloading for collaborative smart city services in edge computing
Smart city is a fast-developing system enabled by Internet of Things (IoT) with massive
collaborative services (eg, intelligent transportation and collaborative diagnosis). Generally …
collaborative services (eg, intelligent transportation and collaborative diagnosis). Generally …
Mapping synergies and trade-offs between smart city dimensions: A network analysis
T Vanli, T Akan - Cities, 2023 - Elsevier
Smart cities have emerged to cope with economic and environmental challenges posed by
modern-day complex city systems. This study hypothesized that overcoming such …
modern-day complex city systems. This study hypothesized that overcoming such …
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 …
planning capability of intelligent traffic systems. However, traffic flow prediction is a very …
Dima: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning
Abstract The ubiquitous Internet of Things (IoTs) devices spawn growing mobile services of
applications with computationally-intensive and latency-sensitive features, which increases …
applications with computationally-intensive and latency-sensitive features, which increases …