Geospatial video analytics involves “data collection” of massive image/video data from the
Internet of Things (IoT), and “data processing” through seamless computing at the …

Mobile edge computing replicates cloud functions at the edge, thus reducing latency,
improving responsiveness, and utilizing network bandwidth in resource-intensive …

Unmanned aerial systems (UAS) consist of a swarm of unmanned aerial vehicles (UAVs)
with edge resources and collaboration with ground-control-servers (GCS) are useful for …

Now we are entering the era of the Internet of Everything (IoE) and billions of sensors and
actuators are connected to the network. As one of the most sophisticated IoE applications …

Large volumes of video feeds are generated by systems of Unmanned Aerial Vehicles
(UAV) or city intersections with cameras in edge applications such as border security, crime …

Video surveillance becomes one of the multimedia services integrated in Internet protocol
networks, and as it can significantly enhance public safety and property security, this chapter …

Emerging Internet of Things (IoT) applications based on distributed sensors and machine
intelligence, especially in smart cities, present many challenges for network and processing …

(English) As our digital world and physical realities blend together, we, as users, are
growing to expect real-time interaction wherever and whenever we want. Newer internet …

Applications that cater to the needs of disaster incident response generate large amount of
data and demand large computational resource access. Such datasets are usually collected …