Participatory sensing is a powerful paradigm that takes advantage of smartphones to collect
and analyze data beyond the scale of what was previously possible. Given that participatory …

Unmanned aerial vehicles (UAVs) can be used to serve as aerial base stations to enhance
both the coverage and performance of communication networks in various scenarios, such …

With the rapid development of smart mobile terminals (MTs), various industrial Internet of
things (IIoT) applications can fully leverage them to collect and share data for providing …

Mobile crowdsourcing (MCS) is now an important source of information for smart cities,
especially with the help of unmanned aerial vehicles (UAVs) and driverless cars. They are …

The operation of unmanned aerial vehicles (UAV) imposes various challenges on radio
spectrum management to achieve safe operation, efficient spectrum utilization, and …

High-quality data collection is crucial for mobile crowd sensing (MCS) with various
applications like smart cities and emergency rescues, where various unmanned mobile …

The world is facing problems, such as uneven distribution of medical resources, the growing
chronic diseases, and the increasing medical expenses. Blending the latest information …

Mobile crowd-sensing (MCS) has appeared as a prospective solution for large-scale data
collection, leveraging built-in sensors and social applications in mobile devices that enables …

As a new type of low power wide area (LPWA) technology, the narrowband Internet of
Things (NB-IoT) technology supports wide coverage and low bitrate services, thus it has a …

Mobile crowd sensing is a new paradigm that enables smart mobile devices to collect and
share various types of sensing data in urban environments. However, new challenges arise …