Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

Fog/edge computing, function as a service, and programmable infrastructures, like software-
defined networking or network function virtualisation, are becoming ubiquitously used in …

Federated learning (FL) is the collaborative machine learning (ML) technique whereby the
devices collectively train and update a shared ML model while preserving their personal …

Mobile crowdsensing (MCS) is a human-driven Internet of Things service empowering
citizens to observe the phenomena of individual, community, or even societal value by …

The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy
the ultra-low latency demand of future applications. In this paper, we argue that such …

In recent years, edge computing becomes an increasingly popular alternative. Edge
computing allows the computation is implemented in the edge of network, in which the data …

The massive growth of diversified smart devices and continuous data generation poses a
challenge to communication architectures. To deal with this problem, communication …

Precision livestock management has become a new field of study as the result of recent
advancements in real-time global positioning system (GPS) tracking, accelerometer and …

Fog computing allows the implementation of information processes on the native net, mainly
because of its ability to process in real-time. On the other hand, the principles of Mist …

The Internet of Things (IoT) is the result of the convergence of sensing, computing, and
networking technologies, allowing devices of varying sizes and computational capabilities …