Two-stage offloading optimization for energy–latency tradeoff with mobile edge computing in maritime Internet of Things
T Yang, H Feng, S Gao, Z Jiang, M Qin… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The ever-increasing growth in maritime activities with large amounts of Maritime Internet-of-
Things (M-IoT) devices and the exploration of ocean network leads to a great challenge for …
Things (M-IoT) devices and the exploration of ocean network leads to a great challenge for …
Energy-aware mobile edge computation offloading for IoT over heterogenous networks
The rapid development of the Internet of Things gives rise to the emergence of delay-
sensitive and computation-intensive applications. Due to the inherent long delay of cloud …
sensitive and computation-intensive applications. Due to the inherent long delay of cloud …
Computation offloading for distributed mobile edge computing network: A multiobjective approach
F Sufyan, A Banerjee - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is emerging as a cornerstone technology to address the
conflict between resource-constrained smart devices (SDs) and the ever-increasing …
conflict between resource-constrained smart devices (SDs) and the ever-increasing …
Deep reinforcement learning based joint edge resource management in maritime network
Due to the rapid development of the maritime networks, there has been a growing demand
for computation-intensive applications which have various energy consumption …
for computation-intensive applications which have various energy consumption …
Computation offloading in LEO satellite networks with hybrid cloud and edge computing
Low earth orbit (LEO) satellite networks can break through geographical restrictions and
achieve global wireless coverage, which is an indispensable choice for future mobile …
achieve global wireless coverage, which is an indispensable choice for future mobile …
Performance guaranteed computation offloading for mobile-edge cloud computing
In this letter, we investigate an energy efficiency with performance guaranteed problem in
mobile-edge computing. The mobile users desire lower energy consumption with better …
mobile-edge computing. The mobile users desire lower energy consumption with better …
Energy efficient dynamic offloading in mobile edge computing for internet of things
With proliferation of computation-intensive Internet of Things (IoT) applications, the limited
capacity of end devices can deteriorate service performance. To address this issue …
capacity of end devices can deteriorate service performance. To address this issue …
Energy efficient joint computation offloading and service caching for mobile edge computing: A deep reinforcement learning approach
Mobile Edge Computing (MEC) meets the delay requirements of emerging applications and
reduces energy consumption by pushing cloud functions to the edge of the networks …
reduces energy consumption by pushing cloud functions to the edge of the networks …
A heuristic offloading method for deep learning edge services in 5G networks
With the continuous development of the Internet of Things (IoT) and communications
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …
technology, especially under the epoch of 5G, mobile tasks with big scales of data have a …
Joint optimization of energy consumption and latency in mobile edge computing for Internet of Things
With wide adoption of Internet of Things (IoT) across the world, the IoT devices are facing
more and more intensive computation task nowadays. However, the IoT devices are usually …
more and more intensive computation task nowadays. However, the IoT devices are usually …