Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment

Z Tong, X Deng, F Ye, S Basodi, X Xiao, Y Pan - Information Sciences, 2020 - Elsevier
With the popularity of smart mobile equipment, the amount of data requested by users is
growing rapidly. The traditional centralized processing method represented by the cloud …

Latency-driven parallel task data offloading in fog computing networks for industrial applications

M Mukherjee, S Kumar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Fog computing leverages the computational resources at the network edge to meet the
increasing demand for latency-sensitive applications in large-scale industries. In this article …

End-edge-cloud collaborative computation offloading for multiple mobile users in heterogeneous edge-server environment

K Peng, H Huang, S Wan, VCM Leung - Wireless Networks, 2020 - Springer
With the drastic development of Internet of things, the number of connected mobile users
(MUs) is increasing at an unprecedented speed. The increasing popularity of MUs has …

UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets

T Mohammed, A Albeshri, I Katib, R Mehmood - Applied Sciences, 2020 - mdpi.com
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …

Distributed deep learning-based task offloading for UAV-enabled mobile edge computing

M Mukherjee, V Kumar, A Lat, M Guo… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) is considered to
offer computational capabilities to the resource-constraints end-users. In this paper, we …

Task data offloading and resource allocation in fog computing with multi-task delay guarantee

M Mukherjee, S Kumar, Q Zhang, R Matam… - Ieee …, 2019 - ieeexplore.ieee.org
With the emergence of delay-sensitive task completion, computational offloading becomes
increasingly desirable due to the end-user's limitations in performing computation-intense …

Computation offloading strategy in heterogeneous fog computing with energy and delay constraints

M Mukherjee, V Kumar, S Kumar… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In fog computing, end-users can offload the computation-intensive tasks to the fog node in
the proximity. Additionally, the fog nodes also offload these tasks to the cloud and …

Effective task offloading heuristics for minimizing energy consumption in edge computing

G Yin, R Chen, Y Zhang - … on Internet of Things (iThings) and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) allows user devices to offload computing tasks to edge
servers, which are deployed close to users, for fast execution, short delay and energy …

[HTML][HTML] Efficient and energy-saving computation offloading mechanism with energy harvesting for IoT

Y Zhang, Y Miao, S Pan, S Chen - Security and Communication …, 2021 - hindawi.com
In order to effectively extend the lifetime of Internet of Things (IoT) devices, improve the
energy efficiency of task processing, and build a self-sustaining and green edge computing …

Task Offloading of Intelligent Building Based on CO–HHO Algorithm in Edge Computing

L Yi, X Gao, Z Li, X Feng, J Huang, Q Liu - Journal of Electrical …, 2022 - Springer
With the rapid development of intelligent devices, the intelligence of buildings is becoming
more and more obvious, which leads to the rapid growth of data generated by building …