With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

The wide-spread Internet of Things (IoT) utilization in almost every scope of our life made it
possible to automate daily life tasks with no human intervention. This promising technology …

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 …

In recent years, cloud computing concepts have been extended towards the network edge,
leading to paradigms like fog and edge computing. As a result, applications can be placed …

The rapid proliferation and progress of Wireless Sensor Networks (WSN) and Internet of
Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need …

Recently, the concept of cloud computing has been extended towards the network edge.
Devices near the network edge, called fog nodes, offer computing capabilities with low …

This article addresses an approach to intelligent safety control of passengers on escalators.
The aim is to improve the accuracy of detecting threatening situations on escalators in the …

In edge computing, application components can be placed over a range of computational
devices from cloud data centers to nodes at the network edge. Application placement can …

Several technological blocks are being developed to provide solutions to the requirements
necessary for the implementation of industrial IoT. However, this is feasible with the …