The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

The emergence of smart technology has equipped humans with wearables and sensors that
collect relevant data related to individuals and their surroundings. In healthcare, the …

A Fog computing-based transportation system envisions to reduce energy consumption and
communication delay. This paper presents a Fog computing-based scheme for assisting …

Fog computing (FC) models the cloud computing paradigm expedient by bridging the
breach between centralized data servers and diverse terrestrially distributed applications. It …

Artificial noise, energy harvesting, and overlay communications can assure design metrics of
modern wireless networks such as data security, energy efficiency, and spectrum utilization …

This paper adopts a relay among available secondary relays and exploits non-selected
relays as jammers to maintain and secure legitimate secondary source-to-destination …

With the dramatic increase in the number of emerging Internet services, the Fog‐Radio
Access Network (F‐RAN) has recently emerged as a promising paradigm to enhance high …

Offloading to fog servers makes it possible to process heavy computational load tasks in
local devices. However, since the generation problem of offloading decisions is an N‐P …

Fog computing (FC) models the cloud computing paradigm expedient by bridging the
breach between centralized data servers and diverse terrestrially distributed applications. It …