A survey and taxonomy on task offloading for edge-cloud computing
Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …
computing, is one of the most promising ways to address the resource insufficiency of smart …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
EdgeGO: A mobile resource-sharing framework for 6G edge computing in massive IoT systems
With the remarkable development of the 5G technologies, more and more real-time and
complex computational tasks from the Internet-of-Things (IoT) systems can be fulfilled by 5G …
complex computational tasks from the Internet-of-Things (IoT) systems can be fulfilled by 5G …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
Intrusion detection model for IoT using recurrent kernel convolutional neural network
CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …
enormous amount of data traffic that permits data analysis to expose and detect unusual …
Edtp: Energy and delay optimized trajectory planning for uav-iot environment
In modern days, UAV (Unmanned Aerial Vehicle) are being extensively used in various
fields like military, healtcare, security, government sectors, supervision, home delivery …
fields like military, healtcare, security, government sectors, supervision, home delivery …
Meta reinforcement learning for multi-task offloading in vehicular edge computing
Mobile edge computing has been a promising solution to enable real-time service in
vehicular networks. However, due to high dynamics of mobile environment and …
vehicular networks. However, due to high dynamics of mobile environment and …
Task offloading strategy and scheduling optimization for internet of vehicles based on deep reinforcement learning
X Zhao, M Liu, M Li - Ad Hoc Networks, 2023 - Elsevier
Driven by the construction of smart cities, networks and communication technologies are
gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such …
gradually infiltrating into the Internet of Things (IoT) applications in urban infrastructure, such …
Network-assisted processing of advanced IoT applications: challenges and proof-of-concept application
Recent advances in the area of the Internet of Things shows that devices are usually
resource-constrained. To enable advanced applications on these devices, it is necessary to …
resource-constrained. To enable advanced applications on these devices, it is necessary to …