The apparent growth of the internet of things (IoT) has allowed its deployment in many
domains. The IoT devices sense their surroundings and transmit the data via the Web …

The development of the Internet of Things (IoT) paradigm and its significant spread as an
affordable data source has brought many challenges when pursuing efficient data collection …

Industrial internet of things (IIoT) has ushered us into a world where most machine parts are
now embedded with sensors that collect data. This huge data reservoir has enhanced data …

The IoT is widely used in a number of industries and generates large amounts of data. The
data are processed, computed, and stored through distributed computing for analytical …

In the Industrial Internet of Things (ie, IIoT), the standardization of open technologies and
protocols has achieved seamless data exchange between machines and other physical …

This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning
(ZTP) for edge networks. Several advantages are also highlighted that come with …

The Internet Engineering Task Force (IETF) has defined the 6TiSCH architecture to enable
the Industrial Inter-net of Things (IIoT). Unfortunately, 6TiSCH does not provide mechanisms …

Through the development of digital twins, the Industrial Internet of Things (IIoT) has
fundamentally changed how the physical and digital worlds are integrated. The purpose of …

Oil refineries have high operating expenses and are often exposed to increased asset
integrity risks and functional failure. Real-time monitoring of their operations has always …

The manufacturing industry is always exploring techniques to optimize processes, increase
product quality, and more accurately identify defects. The technique of deep learning is the …