In data-driven applications, which go beyond simple data collection, drones may need to
process sensor measurements at certain locations, during the mission. However, the …

In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …

The ability of Unmanned Aerial Vehicles (UAV) to autonomously operate is constrained by
the severe limitations of their on-board resources. The limited processing capacity and …

With the emergence of computation-intensive and delay-sensitive applications, such as face
recognition, virtual reality, augmented reality, and Internet of Things (IoT) devices; Mobile …

The number of connected IoT devices is expected to reach over 20 billion by 2020. These
range from basic sensor nodes that log and report the data for cloud processing, to the ones …

Internet of Drones (IoD), where drones act as the Internet of Things (IoT) devices, provides
multiple services, such as object recognition, traffic monitoring, and disaster rescue. The …

Recent years, under the cooperation of 5G techniques which enables high rate and low
delay communication, cellular-connected unmanned aerial vehicles (UAVs) have attracted …

6G networks provide faster communication for connected vehicles. These vehicles are
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …

Unmanned aerial vehicles (UAVs) combined with mobile edge computing (MEC) servers
assist ground terminals (GTs) for communication and computation in wireless networks …

Unmanned aerial vehicle (UAV)-enabled edge computing is a promising paradigm to
provide task offloading service for computation-intensive applications. Catering for highly …