Recently, mobile crowd sensing (MCS) is captivating growing attention because of their
suitability for enormous range of new types of context-aware applications and services. This …

We investigate a quality of experience (QoE) based computation offloading scheduling
problem for Edge Computing, in which data processing and decision making are placed at …

To facilitate the implementation of deep learning-based vehicular applications, vehicular
federated learning is introduced by integrating vehicular edge computing with the newly …

The Internet of Vehicles (IoV) is composed of road side units (RSUs) nodes and vehicle
nodes. Because the limited bandwidth of RSUs can not satisfy massive requests from …

Due to the problem of attribute redundancy in meteorological data from the Industrial Internet
of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute …

With the rapid growth of mobile traffic, Internet of Things requires a large number of access
points (APs) to provide data offloading capabilities. Owing to their selfishness, most APs …

Cognitive radio (CR) is the best way to improve the efficiency of spectrum consumption for
wireless multimedia communications. Spectrum sensing, which allows legitimate secondary …

Crowdsensing is a new paradigm of applications that takes advantage of mobile devices to
collect sensing data. Tasks in crowdsensing will consume users' resources so that incentive …

As a special mobile ad-hoc network, Vehicular Ad-hoc Networks (VANETs) have the
characteristics of high-speed movement, frequent topology changes, multi-hop routing, a …

Vehicular Ad-hoc NETwork (VANET) is a special mobile ad hoc network that composed of
facilities such as vehicle nodes and roadside units. Message transfer among vehicle nodes …