Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

Recent years have disclosed a remarkable proliferation of compute-intensive applications in
smart cities. Such applications continuously generate enormous amounts of data which …

This study systematically explored the effect of smart city policy (SCP) on urban green total-
factor productivity (GTFP) in China. We first measured the urban GTFP using the Luenberger …

These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

A city can be considered a carrier of multiple sources of data and information that are
updated in real time and experiences continuous operation and development. Therefore, a …

Over the past few decades, the intelligent transportation system (ITS) have emerged with
new technologies and becomes the data-driven ITS, because the substantial amount of data …

Nowadays, the transformations of metropolises into smart cities is a crucial factor in
improving the living conditions of the inhabitants. The goal of the smart city concept is …

Sensor-cloud originates from extensive recent applications of wireless sensor networks and
cloud computing. To draw a roadmap of the current research activities of the sensor-cloud …

Smart cities require the development of information and communication technology to
become a reality (ICT). A “smart city” is built on top of a “smart grid”. The implementation of …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …