AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges, and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Placement of microservices-based iot applications in fog computing: A taxonomy and future directions

S Pallewatta, V Kostakos, R Buyya - ACM Computing Surveys, 2023 - dl.acm.org
The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …

[HTML][HTML] Metaverse for cultural heritages

X Zhang, D Yang, CH Yow, L Huang, X Wu, X Huang… - Electronics, 2022 - mdpi.com
The metaverse has gained popularity recently in many areas including social media,
healthcare, education and manufacturing. This work explores the use of the metaverse …

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Z Amiri, A Heidari, M Zavvar… - Transactions on …, 2024 - Wiley Online Library
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …

Load balancing using artificial intelligence for cloud-enabled internet of everything in healthcare domain

I Aqeel, IM Khormi, SB Khan, M Shuaib, A Almusharraf… - Sensors, 2023 - mdpi.com
The emergence of the Internet of Things (IoT) and its subsequent evolution into the Internet
of Everything (IoE) is a result of the rapid growth of information and communication …

Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems

M Bey, P Kuila, BB Naik, S Ghosh - Expert Systems with Applications, 2024 - Elsevier
With the advancement of the 5G networks, edge computing (EC) assisted Internet of Things
(IoT) based applications demand real-time computation and high-volume data-intensive …

[HTML][HTML] A novel modified artificial rabbit optimization for stochastic energy management of a grid-connected microgrid: A case study in China

NH Khan, Y Wang, R Jamal, S Iqbal, ZMS Elbarbary… - Energy Reports, 2024 - Elsevier
The energy management (EM) solution of the microgrids (MGs) is a crucial task to attain
most economic, reliable and sustainable operation state of the MGs. This paper aims to …

Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach

MR Raju, SK Mothku - Computer Networks, 2023 - Elsevier
With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …

A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images

LK Singh, M Khanna, S Thawkar, R Singh - Multimedia Tools and …, 2024 - Springer
Feature selection (FS) is crucial to transforming high-dimensional data into low-dimensional
data. The FS approach selects influential traits and ignores the rest. This approach improves …

An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment

N Khaledian, K Khamforoosh, R Akraminejad… - Computing, 2024 - Springer
Abstract The Internet of Things (IoT) is constantly evolving. The variety of IoT applications
has caused new demands to emerge on users' part and competition between computing …