With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …

Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

Fog/Edge computing emerges as a novel computing paradigm that harnesses resources in
the proximity of the Internet of Things (IoT) devices so that, alongside with the cloud servers …

Mobile-edge computing (MEC) has emerged as a new computing paradigm with great
potential to alleviate resource limitations attributed to mobile device users (MDUs) by …

Mobile edge computing (MEC) is a new paradigm to alleviate resource limitations of mobile
IoT networks through computation offloading with low latency. This article presents an …

The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

Deep learning has recently been applied to automatically classify the modulation categories
of received radio signals without manual experience. However, training deep learning …

Industrial Internet of Things (IIoT), which consists of massive IoT devices and industrial
infrastructures such as wireless access points to acquire intelligent services, has been …

Internet-of-Things (IoT) applications are becoming more resource-hungry and latency-
sensitive, which are severely constrained by limited resources of current mobile hardware …

In recent years, the usage of smart mobile applications to facilitate day‐to‐day activities in
various domains for enhancing the quality of human life has increased widely. With rapid …