A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

F Salahdine, J Opadere, Q Liu, T Han, N Zhang… - Computer Networks, 2021 - Elsevier
The proliferation of mobile users with an attendant rise in energy consumption mainly at the
base station has requested new ways of achieving energy efficiency in cellular networks …

Enabling green mobile-edge computing for 5G-based healthcare applications

PK Bishoyi, S Misra - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
With the unprecedented growth of wireless body area network (WBAN) users and
computation-intensive 5G-based healthcare applications, mobile edge computing (MEC) …

5G multi-access edge computing: A survey on security, dependability, and performance

G Nencioni, RG Garroppo, RF Olimid - IEEE Access, 2023 - ieeexplore.ieee.org
The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter
requirements. Multi-access Edge Computing (MEC) is a key technology that enables these …

Discontinuous computation offloading for energy-efficient mobile edge computing

M Merluzzi, N di Pietro, P Di Lorenzo… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
We propose a novel strategy for energy-efficient dynamic computation offloading, in the
context of edge-computing-aided beyond 5G networks. The goal is to minimize the energy …

Energy efficiency-driven mobile base station deployment strategy for shopping malls using modified improved differential evolution algorithm

X Sun, T Zhang, J Xu, H Zhang, H Kang, Y Shen… - Applied …, 2023 - Springer
The short-time aggregation of human traffic places high demands on the communication
capacity of cellular networks. The deployment of expensive permanent infrastructure without …

Energy-effective iot services in balanced edge-cloud collaboration systems

Z Xiang, S Deng, Y Zheng, D Wang… - … Conference on Web …, 2021 - ieeexplore.ieee.org
The rapid development of the Internet-of-Things (IoT) makes it convenient to sense and
collect real-world information with different kinds of widely distributed sensors. With plenty of …

An optimized task offloading strategy based on deep reinforcement learning combined with channel reliability prediction

W Tang, Y Yang, D Gao, J Chen, S Huang, N Chen - Wireless Networks, 2024 - Springer
Mobile edge computing provides a new solution to meet the computing demands of
emerging applications such as the industrial Internet, which cannot be fully met by the …

Reliable and adaptive computation offload strategy with load and cost coordination for edge computing

W Tang, D Gao, S Yu, J Lu, Z Wei, Z Li… - Pervasive and Mobile …, 2024 - Elsevier
There are several important factors to consider in edge computing systems including
latency, reliability, power consumption, and queue load. Task replication requires additional …

MEC Server Sleep Strategy for Energy Efficient Operation of an MEC System

M Koo, J Park - Applied Sciences, 2024 - mdpi.com
Optimizing the energy consumption of an MEC (Multi-Access Edge Computing) system is a
crucial challenge for operation cost reduction and environmental conservation. In this paper …

Energy-efficient early emergency detection for healthcare monitoring on WBAN platform

M Billah - 2023 - eprints.staffs.ac.uk
This dissertation introduces an innovative structure aimed at improving anomaly detection
and predictive analyses in Wireless Body Area Networks (WBANs), a crucial technology …