Edge intelligence: A computational task offloading scheme for dependent IoT application
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …
A systematic survey on internet of things: Energy efficiency and interoperability perspective
With the provision of rapid advancement in smart devices used in various technological
fields exponentially increases the heterogeneity and energy consumption in internet of …
fields exponentially increases the heterogeneity and energy consumption in internet of …
Virtual network function placement in satellite edge computing with a potential game approach
Satellite networks, as a supplement to terrestrial networks, can provide effective computing
services for Internet of Things (IoT) users in remote areas. Due to the resource limitation of …
services for Internet of Things (IoT) users in remote areas. Due to the resource limitation of …
Deep-reinforcement-learning-based resource allocation for cloud gaming via edge computing
X Deng, J Zhang, H Zhang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Compared with cloud computing, edge computing is capable of effectively solving the high
latency problem in cloud gaming. However, there are still several challenges to address for …
latency problem in cloud gaming. However, there are still several challenges to address for …
Task offloading and resource scheduling in hybrid edge-cloud networks
Q Zhang, L Gui, S Zhu, X Lang - IEEE Access, 2021 - ieeexplore.ieee.org
Computation-intensive mobile applications are explosively increasing and cause
computation overload for smart mobile devices (SMDs). With the assistance of mobile edge …
computation overload for smart mobile devices (SMDs). With the assistance of mobile edge …
6G-empowered offloading for realtime applications in multi-access edge computing
Multi-access Edge Computing (MEC) is a promising solution to the resource shortage
problem on mobile devices. With MEC, a fraction of the computational tasks on mobile …
problem on mobile devices. With MEC, a fraction of the computational tasks on mobile …
VC-PPQ: privacy-preserving Q-learning based video caching optimization in mobile edge networks
Mobile edge caching has great advantages in alleviating video traffic pressure and reducing
transmission delay, which is considered as a hopeful solution to improve video resource …
transmission delay, which is considered as a hopeful solution to improve video resource …
An intelligent collaborative inference approach of service partitioning and task offloading for deep learning based service in mobile edge computing networks
X Li, Y Qin, H Zhou, Z Zhang - Transactions on Emerging …, 2021 - Wiley Online Library
As the rapid evolution of smart devices and real‐time applications, many new kinds of
computation‐intensive services have been emerged successively and the corresponding …
computation‐intensive services have been emerged successively and the corresponding …
Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks
With the rapid development of innovative applications, lots of computation-intensive and
delay-sensitive tasks are emerging. Task offloading, which is regarded as a key technology …
delay-sensitive tasks are emerging. Task offloading, which is regarded as a key technology …
Tensor and Confident Information Coverage Based Reliability Evaluation for Large-Scale Intelligent Transportation Wireless Sensor Networks
Z Xiao, X Deng, H Lu, Y Xia, X Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Wireless sensor network (WSN) plays an important role in information collection and
processing in Intelligent Transportation Systems (ITS) recently. With rapid development of …
processing in Intelligent Transportation Systems (ITS) recently. With rapid development of …