[HTML][HTML] The Internet of Things (IoT) in healthcare: Taking stock and moving forward

A Rejeb, K Rejeb, H Treiblmaier, A Appolloni… - Internet of Things, 2023 - Elsevier
Recent improvements in the Internet of Things (IoT) have allowed healthcare to evolve
rapidly. This article summarizes previous studies on IoT applications in healthcare. A …

Towards distributed data management in fog computing

V Moysiadis, P Sarigiannidis… - … and Mobile Computing, 2018 - Wiley Online Library
In the emerging area of the Internet of Things (IoT), the exponential growth of the number of
smart devices leads to a growing need for efficient data storage mechanisms. Cloud …

Mobility-aware task scheduling in cloud-Fog IoT-based healthcare architectures

RM Abdelmoneem, A Benslimane, E Shaaban - Computer networks, 2020 - Elsevier
Healthcare applications are distinguished by being critical and time sensitive. Multiple
healthcare applications have been implemented through Internet of Things (IoT) technology …

FPFTS: A joint fuzzy particle swarm optimization mobility‐aware approach to fog task scheduling algorithm for Internet of Things devices

S Javanmardi, M Shojafar, V Persico… - Software: practice and …, 2021 - Wiley Online Library
Summary In the Internet of Things (IoT) scenario, the integration with cloud‐based solutions
is of the utmost importance to address the shortcomings resulting from resource‐constrained …

Modeling and simulation tools for fog computing—a comprehensive survey from a cost perspective

SV Margariti, VV Dimakopoulos, G Tsoumanis - Future Internet, 2020 - mdpi.com
Fog computing is an emerging and evolving technology, which bridges the cloud with the
network edges, allowing computing to work in a decentralized manner. As such, it introduces …

Resource allocation mechanisms and approaches on the Internet of Things

Z Ghanbari, N Jafari Navimipour, M Hosseinzadeh… - Cluster …, 2019 - Springer
Abstract Internet of Things (IoT) as a novel paradigm is an environment with a vast number
of connected things and applications. The IoT devices are used to generate data, which …

Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network

SK Gharghan, SL Mohammed, A Al-Naji… - Energies, 2018 - mdpi.com
Falls are the main source of injury for elderly patients with epilepsy and Parkinson's disease.
Elderly people who carry battery powered health monitoring systems can move unhindered …

A Q-learning-based delay-aware routing algorithm to extend the lifetime of underwater sensor networks

Z Jin, Y Ma, Y Su, S Li, X Fu - Sensors, 2017 - mdpi.com
Underwater sensor networks (UWSNs) have become a hot research topic because of their
various aquatic applications. As the underwater sensor nodes are powered by built-in …

A novel distributed fog-based networked architecture to preserve energy in fog data centers

Z Pooranian, M Shojafar, PGV Naranjo… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
The distinguishing feature of the Fog Computing (FC) paradigm is that FC spreads
communication and computing resources over the wireless access network, so as to provide …

An accuracy vs. complexity comparison of deep learning architectures for the detection of COVID-19 disease

S Sarv Ahrabi, M Scarpiniti, E Baccarelli… - Computation, 2021 - mdpi.com
In parallel with the vast medical research on clinical treatment of COVID-19, an important
action to have the disease completely under control is to carefully monitor the patients. What …