The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …

With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

Fog computing is an emerging trend in the healthcare sector for the care of patients in
emergencies. Fog computing provides better results in healthcare by improving the quality of …

Due to an ever‐increasing number of Internet of Everything (IoE) devices, massive amounts
of data are produced daily. Cloud computing offers storage, processing, and analysis …

Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

Deep reinforcement learning (DRL) and evolution strategies (ESs) have surpassed human-
level control in many sequential decision-making problems, yet many open challenges still …

Fog computing (FC) is an evolving computing technology that operates in a distributed
environment. FC aims to bring cloud computing features close to edge devices. The …

With the rapid advancement of intelligent transportation systems (ITS) and vehicular
communications, vehicular edge computing (VEC) is emerging as a promising technology to …

Existing technology like smart grid (SG) and smart meters play a significant role in meeting
the everlasting demand of energy consumption, supply, and generation for peer-to-peer …

Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …