Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Recent technology has modeled VANET (vehicular adhoc network) communication well in
terms of privileges to derive vehicular communication technologically to save time, energy …

We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Medical diagnostic image analysis (eg, CT scan or X-Ray) using machine learning is an
efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic …

Driven by the increasing demand of real-time mobile application processing, Multi-access
Edge Computing (MEC) has been envisioned as a promising paradigm for pushing …

Intelligent Transportation System (ITS) is critical to cope with traffic events, eg, traffic jams
and accidents, and provide services for personal traveling. However, existing researches …

The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

Due to line-of-sight communication links and distributed deployment, Unmanned Aerial
Vehicles (UAVs) have attracted substantial interest in agile Mobile Edge Computing (MEC) …

During the outbreak of the Coronavirus disease 2019 (COVID-19), while bringing various
serious threats to the world, it reminds us that we need to take precautions to control the …