With the rapid development of automatic vehicles (AVs), vehicles have become important
intelligent objects in Smart City. Vehicles bring huge amounts of data for Intelligent …

Along with the commercialization of evolved multimedia broadcast multicast services
(eMBMS), the number of mobile broadcasting users is growing notably. Previous works …

In 5G and Beyond networks, Artificial Intelligence applications are expected to be
increasingly ubiquitous. This necessitates a paradigm shift from the current cloud-centric …

Mobile crowdsensing (MCS) is a new data collection paradigm profiting from the human-
centric cyber social computing. However, due to the humans' uncontrollable mobility, it …

The research community has already identified that, by 2030, 5G networks will reach the
capacity limits, and, hence, will be inadequate to support next-generation bandwidth-hungry …

With offloading the tasks that mobile users (MUs) running in their mobile devices (MDs) to
the data centers of remote public clouds, mobile cloud computing (MCC) can greatly …

Concomitant with the explosive growth in the number of artificial intelligence Internet of
Things (AIoT) devices, a large amount of data is being constantly generated. Further, cloud …

Mobile Crowdsensing (MCS), which assigns outsourced sensing tasks to volunteer workers,
has become an appealing paradigm to collaboratively collect data from surrounding …

Visual monitoring supported by the Internet of Things (IoT) increasingly relies on analyzing a
mass of image data with human–machine interactive mechanisms. However, maintaining …

The current security method of Internet-of-Vehicles (IoV) systems is rare, which makes it
vulnerable to various attacks. The malicious and unauthorized nodes can easily invade the …