Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

The emergence of Internet of Things (IoT) has enabled the interconnection and
intercommunication among massive ubiquitous things, which caused an unprecedented …

Internet of Things (IoT) continues to play a critical role with a rapid increase in connected
devices. Fog computing, accompanied by the edge paradigms for computing such as …

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

Fog computing could alleviate many of the Internet of Things' unique challenges. This
special issue explores fog computing's opportunities and challenges to form a distributed …

Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …

Over the last decade, data processing shifted from cloud computing to the local processing
environment named Fog computing. Fog computing is an extension of cloud computing …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …