The rapid growth of IoT has exploded the number of devices connected to the Internet, a
number which keeps increasing in high pace. This has led to an enormous amount of …

Deep learning is a new approach to artificial intelligence that enables edge-computing
systems to learn from data and take decisions without human intervention. Edge computing …

Due to the proliferation of the Internet of Things (IoT) paradigm, the number of devices
connected to the Internet is growing. These devices are generating unprecedented amounts …

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

The evolution of Internet of Things (IoT) technology has led to an increased emphasis on
edge computing for Cyber-Physical Systems (CPS), in which applications rely on processing …

Smart networks' architectures and technologies play an important and increasing role in
practice due to the widespread adoption of mobile devices in many applications. For …

We are witnessing the emergence of new big data processing architectures due to the
convergence of the Internet of Things (IoTs), edge computing and cloud computing. Existing …

Considering the recent advances of ICT technologies and the expansion of networked
paradigms such as the Internet of Things (IoT), the design and rapid prototyping of scalable …

The adoption of the Internet of Things (IoT) deployments has led to a sharp increase in
network traffic as a vast number of IoT devices communicate with each other and IoT …

The phenomenal growth in IoT devices and systems has opened many new research
avenues (Gubbi et al., 2013). This massive growth is leading toward gigantic data …