Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

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 …

Under several emerging application scenarios, such as in smart cities, operational
monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous …

Recently, there has been an increasing interest in the Internet of Things (IoT). While some
analysts disvalue the IoT hype, several technology leaders, governments, and researchers …

Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Lightweight virtualization technologies have revolutionized the world of software
development by introducing flexibility and innovation to this domain. Although the benefits …

The stringent latency together with the higher bandwidth requirements of current Internet of
Things (IoT) applications, are leading to the definition of new network-infrastructures, such …

Abstract Mobile Fog Computing (MFC) paradigm can be integrated as a unit called as Multi-
Access Edge Computing (MFC) in a fifth-generation (5G) network. There are extensive …

Abstract The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT), or
AIoT, has breathed a new life into IoT operations and human-machine interactions …

In this paper, an energy efficient IoT virtualization framework with peer-to-peer (P2P)
networking and edge processing is proposed. In this network, the IoT task processing …