In this article, we present a comprehensive survey on time-sensitive applications
implemented in fog computing environments. The goal is to research what applications are …

With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …

With the increasingly powerful and extensive deployment of edge devices, edge/fog
computing enables customers to manage and analyze data locally, and extends computing …

Cloud computing is a technology that allows dynamic and flexible computing capability and
storage through on‐demand delivery and pay‐as‐you‐go services over the Internet. This …

The birth of fog computing has given rise to many security threats. Distributed denial of
service (DDoS) attacks by intruders on fog nodes will cause system resources to be illegally …

Edge computing technology has drawn the keystone of future intelligent transportation
systems, especially in smart cities, because of processing data that are near to the user …

The edge of the smart grid has a massive number of power and resource-constrained
interconnected devices. Mainly, smart meters report power consumption data from consumer …

The fog computing model has given new trends of networking with different types of devices
providing services at the end‐user point. It inherits most advanced features of cloud …

Wireless Sensor Networks (WSNs) are increasingly involved in many applications. However,
communication overhead and energy efficiency of sensor nodes are the major concerns in …

As Internet-of-Things (IoT) networks provide efficient ways to transfer data, they are used
widely in data sensing applications. These applications can further include wireless sensor …