[HTML][HTML] Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC

A Nauman, WU Khan, G Aldehim, H Alqahtani… - Journal of King Saud …, 2024 - Elsevier
Abstract Smart devices in Industry 5.0, such as sensors and robots, are often limited by low
battery life and finite computational resources, hindering their ability to perform complex …

[HTML][HTML] A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks

J Yang, AA Shah, D Pezaros - Electronics, 2023 - mdpi.com
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …

Energy-efficient computation offloading for static and dynamic applications in hybrid mobile edge cloud system

J Bi, K Zhang, H Yuan, J Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a promising paradigm, mobile edge computing (MEC) provides cloud resources in a
network edge to offer low-latency services to mobile devices (MDs). MEC addresses the …

Optimal resource allocation for scalable mobile edge computing

Y Gao, Y Cui, X Wang, Z Liu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
In this letter, we would like to investigate the optimal tradeoff between user experience and
consumptions of communications and computation resources in designing mobile edge …

Energy-aware task offloading with genetic particle swarm optimization in hybrid edge computing

J Bi, K Zhang, H Yuan, Q Hu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Mobile Devices (MDs) support various delay/computation-intensive applications. Yet they
only have limited battery energy and computing resources, thereby failing to totally run all …

HIQCO: A hierarchical optimization method for computation offloading and resource optimization in multi-cell mobile-edge computing systems

Z Li, C Du, S Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile-Edge Computing (MEC) addresses the shortcomings of mobile devices in terms of
computing performance and energy efficiency by offloading computation tasks to the edge of …

Task offloading, load balancing, and resource allocation in MEC networks

SL Li, JB Du, DS Zhai, XL Chu, FR Yu - IET Communications, 2020 - Wiley Online Library
To prolong the time duration of smart mobile devices (SMDs) or enable low‐latency tasks,
mobile edge computing (MEC) has emerged as a promising paradigm by offloading tasks to …

Energy-latency tradeoff for energy-aware offloading in mobile edge computing networks

J Zhang, X Hu, Z Ning, ECH Ngai… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks
in close proximity to smart mobile devices (SMDs) and contributes to energy saving …

Energy optimal resource allocation for mobile edge computation offloading in presence of computing access point

N Nouri, A Tadaion - 2018 Iran Workshop on Communication …, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising approach and popular mobile technology
which provides cloud-computing capabilities in vicinity to smart mobile devices (SMDs) in …

Delay-energy joint optimization for task offloading in mobile edge computing

Z Wang, W Liang, M Huang, Y Ma - arXiv preprint arXiv:1804.10416, 2018 - arxiv.org
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to meet ever-
increasing resource demands of mobile users, prolong battery lives of mobile devices, and …