The spread of the Internet of Things (IoT) has led to the generation of large amounts of data,
requiring massive communication, computing, and storage resources. Cloud computing …

As the artificial intelligence–internet of things (AI-IoT) network expands, the exponential
growth in data generated by connected devices is leading to increased data traffic in AI-IoT …

Latency-critical Internet of Things (IoT) applications, such as factory automation and smart
grids, have received great attention recently. To satisfy the stringent latency requirements for …

The focus of this special issue is on the Internet of Things (IoT) with a particular emphasis on
the use of Cloud edge computing as a building block of the IoT architecture and a key …

Summary Internet of Things (IoT) is an ecosystem that can improve the life quality of humans
through smart services, thereby facilitating everyday tasks. Connecting to cloud and utilizing …

Summary Internet of Things (IoT) aims to bring every object (eg, smart cameras, wearable,
environmental sensors, home appliances, and vehicles) online, hence generating massive …

Fog computing has been introduced in recent years to extend cloud services to the network
edge in order to minimize network delay and network congestion and overcome cloud …

As latency is the key performance metric for IoT applications, fog nodes co-located with
cellular base stations can move the computing resources close to IoT devices. Therefore …

Fog computing has become a new cutting-edge technology to bring cloud applications
closer to physical IoT devices at the edge of the network. In Fog computing use case …

The emerging Internet of Things (IoT) paradigm creates a growing need to analyze a
significant amount of data produced by the interconnected IoT devices. Since IoT devices …