Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Industry 4.0 or industrial Internet of things (IIoT) has become one of the most talked-about
industrial business concepts in recent years. Thus, to efficiently integrate Internet of things …

Execution of deep learning solutions is mostly restricted to high performing computing
platforms, eg, those endowed with GPUs or FPGAs, due to the high demand on computation …

The Industrial Internet of Things is growing fast. But the rapid growth of IIoT devices raises a
number of security concerns, because the IIoT device is weak in defending against malware …

We present a novel framework for analyzing and optimizing the outage performance of a
multiple amplify-and-forward relay network, where N relays, each with unite cache capacity …

Fog Computing is a new computation paradigm, recently emerged from the convergence of
IoT, WSN, mobile computing, edge computing, and Cloud Computing, which is particularly …

Internet of things (IoT) services have been accepted and accredited globally for the past
couple of years and have had increasing interest from researchers. Fog architecture has …

This paper proposes two virtual functions (VFs) placement approaches in a Fog domain. The
considered solutions formulate a matching game with externalities, aiming at minimizing …

Tiny Machine Learning (TinyML) is a novel research area aiming at designing machine and
deep learning models and algorithms able to be executed on tiny devices such as Internet-of …

The security and privacy of healthcare enterprises (HEs) are crucial because they maintain
sensitive information. Because of the unique functional requirement of omni-inclusiveness …