The Internet of Things (IoT) concept, first introduced by a member of the RFID development
community, has recently become more applicable to the real world due to the propagation of …

In recent years, with the technological advancement and rapid growth in the Internet of
Things (IoT), many physical devices and real-time applications have generated an …

With the advancement in the Internet of things Technology (IoT) cloud computing, billions of
physical devices have been interconnected for sharing and collecting data in different …

Considerable research has been dedicated to exploring the fog computing model, which
aims to improve cloud-based services for Internet of Things (IoT) and AI users. The model …

5G and beyond (B5G) applications generate tremendous computing‐intensive, latency‐
sensitive, and privacy‐sensitive tasks, which differ from the legacy cloud computing tasks …

In recent years, fog computing has extended cloud services to the network edge, lowering
network latency and congestion and overcoming cloud computing restrictions. Many …

Abstract The Internet of Things (IoT) has led to the adoption of fog computing for data-
intensive applications that require low-latency processing. Fog computing uses distributed …

With the growing popularity of the Internet of Things (IoT), the goal of this study is to examine
fog computing (FC) as an enhanced supplement to cloud architecture for monitoring the …

The Internet of Everything paradigm is being rapidly adopted in developing applications for
different domains like smart agriculture, smart city, big data streaming, and so on. These IoE …

Fog computing paradigm extends cloud services to the network's edge in order to improve
the performance of latency-sensitive and resource-constrained applications by enabling …