Introducing multi-UAV network with flexible deployment into mobile edge computing (MEC)
can effectively improve the quality of service of Internet-of-Things services, reduce the …

Edge computing has become popular in the last decade and will advance in future to
support real-time actionable analytics at the devices. One of the fundamental problems for …

The emergence of delay-sensitive and computationally-intensive mobile applications and
services pose a significant challenge for Unmanned Aerial Vehicles (UAVs) devices due to …

With the large number of cameras deployed in smart industrial parks and smart campuses,
edge devices and location-fixed edge servers are deployed near to these cameras and help …

Abstract Mobile Edge Computing (MEC) accommodates processing and data storage and
manipulation capabilities across the scope of wireless network. In MEC environment, MEC …

With the rapid development of unmanned aerial vehicles (UAVs) technology and the advent
of the 5G era, the role of UAV‐enabled mobile edge computing (MEC) system has attracted …

In this paper, we propose ENergy-efficient disastER manaGmENT (ENERGENT) as a novel
framework for disaster management in the unmanned aerial vehicle (UAV)-assisted Fog …

Federated learning (FL), where data remains at the federated clients, and where only
gradient updates are shared with a central aggregator, was assumed to be private. Recent …

Real-time control solutions for unmanned aerial vehicles (UAVs) have attracted great
interest in recent years. Most existing control methods use Wi-Fi technology. While Wi-Fi is …

Mobile edge computing (MEC) is a promising technology for improving latency in mainly real-
time applications, such as smart airports, smart maintenances, and AR/VR. And it is an …