Nowadays, unmanned aerial vehicle (UAV) swarm supported by mobile edge computing is
attracting more and more attention, such as smart agriculture, smart transportation, smart …

Real-time visual computing applications running Deep Neural Networks (DNN) are
becoming popular for mission-critical use cases such as, disaster response, tactical …

A network of drone cameras can be deployed to cover live events, such as high-action
sports game played on a large field, but managing networked drone cameras in real-time is …

Modern latency-sensitive applications such as real-time multi-camera video analytics
require networked computing to meet the time constraints. We present Jupiter, an open …

The heterogeneity of unmanned aerial vehicle (UAV) nodes and the dynamic service
demands make task scheduling particularly complex in the drone edge cluster (DEC) …

This work demonstrates how to leverage previous network expert demonstrations of UAV
deployment to automate the drones placement in civil applications. Optimal UAV placement …

Delivery drones provide a promising sensing platform for Mobile Crowdsensing (MCS) due
to their high mobility and large-scale deployment. However, due to limited battery lifetime …

Unmanned Aerial Vehicles (UAVs) have recently attracted significant attention due to their
outstanding ability to be used in different sectors and serve in difficult and dangerous areas …

Real-time video analytics on small autonomous drones poses several difficult challenges at
the intersection of wireless bandwidth, processing capacity, energy consumption, result …

Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …