Aerial inspection of agricultural regions can provide crucial information to safeguard from
numerous obstacles to efficient farming. Farmland anomalies such as standing water, weed …

This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

Unmanned aerial vehicles (UAVs) are widely used as aerial base stations (BSs) to provide
flexible connectivity and coverage for ground users in various scenarios such as disaster …

Several research works are being considered to adopt the use of UAVs to support smart
transportation systems due to their movement flexibility. In this article, a UAV-supported …

Using unmanned aerial vehicles (UAVs) to cover users in wireless networks has increased
in recent years. Deploying UAVs in appropriate positions is important to cover users and …

It is feasible and safe to use unmanned aerial vehicle (UAV) as the data collection platform
of the Internet of things (IoT). In order to save the energy loss of the platform and make the …

The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …

Cascade failures are one of the key issues restricting the widespread application of the
Internet of Things (IoT). Under different routing modes, the cascade failure process of the IoT …

In modern networks, edge computing will be responsible for processing and learning from
the critical network-and user-generated data, such as wireless link usage, mobility …

This paper considers the problem of efficient network design for data collection from various
sensors in smart environments using flying base stations, which are realized using …