Natural disasters often cause huge and unpredictable losses to human lives and properties.
In such an emergency post-disaster rescue situation, unmanned aerial vehicles (UAVs) are …

With the rapid development of the Internet of Things (IoT), the number of mobile terminal
devices is increasing. Massive data are generated by mobile terminal devices, resulting in …

The task allocation of unmanned aerial vehicles (UAVs) is important in UAV search and
rescue to guarantee an effective and orderly search and rescue activity. However, few …

Mobile crowdsensing (MCS) by unmanned aerial vehicles (UAVs) servicing delay-sensitive
applications becomes popular by navigating a group of UAVs to take advantage of their …

Fog-aided Internet of Drones (IoD) networks employ fog nodes to provide computing
resources for the delay-sensitive tasks offloaded from drones. In IoD networks, drones are …

Microscopic modeling of driving behavior is the basis for traffic design and traffic simulation
studies and can be applied to automated driving systems to provide human-like decision …

Internet of Drones (IoD) utilizes drones as the Internet of Things devices to collect
information (eg, air pollutant level and traffic condition) over different points of interests, and …

With the access of massive mobile devices, spectrum resources are becoming increasingly
scarce. How to effectively and securely utilize the limited spectrum resources has become a …

Due to the features of on-demand deployment and flexible observation, unmanned aerial
vehicles (UAVs) are promising for serving as the next-generation aerial sensors by using …

Information-centric networking (ICN) is a new approach to networking contents rather than
devices that hold the contents. It has recently attracted much attention of network research …