AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Computation offloading method using stochastic games for software-defined-network-based multiagent mobile edge computing
G Wu, H Wang, H Zhang, Y Zhao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the scenario of Industry 4.0, mobile smart devices (SDs) on production lines have to
process massive amounts of data. These computing tasks sometimes far exceed the …
process massive amounts of data. These computing tasks sometimes far exceed the …
[HTML][HTML] An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks
S Bebortta, SS Tripathy, UM Modibbo, I Ali - Decision Analytics Journal, 2023 - Elsevier
Executing complex and time-sensitive operations has become difficult due to the increased
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
Digital twin-driven intelligent task offloading for collaborative mobile edge computing
Collaborative mobile edge computing (MEC) is a new paradigm that allows cooperative
peer offloading among distributed MEC servers to balance their computing workloads …
peer offloading among distributed MEC servers to balance their computing workloads …
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services
Wireless body area network (WBAN) is widely adopted in healthcare services, providing
remote real-time and continuous healthcare monitoring. With the massive increase of …
remote real-time and continuous healthcare monitoring. With the massive increase of …
Joint multi-user DNN partitioning and task offloading in mobile edge computing
Mobile edge computing is conducive to artificial intelligence computing near terminals, in
which Deep Neural Networks (DNNs) should be partitioned to allocate tasks partially to the …
which Deep Neural Networks (DNNs) should be partitioned to allocate tasks partially to the …
Computation offloading in MEC-enabled IoV networks: Average energy efficiency analysis and learning-based maximization
TZH Ernest, AS Madhukumar - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
This paper investigates the energy efficiency of computation offloading strategies in multi-
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
access edge computing-enabled (MEC-enabled) Internet-of-Vehicles (IoV) networks. First …
Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks
L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …
Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing
This research paper investigates Mobile Edge Computing (MEC) networks, which involve
numerous wireless devices transferring their computation tasks to various edge servers and …
numerous wireless devices transferring their computation tasks to various edge servers and …
New improved multi-objective gorilla troops algorithm for dependent tasks offloading problem in multi-access edge computing
Computational offloading allows lightweight battery-operated devices such as IoT gadgets
and mobile equipment to send computation tasks to nearby edge servers to be completed …
and mobile equipment to send computation tasks to nearby edge servers to be completed …