Space-air-ground integrated networks (SAGINs) are envisioned to provide seamless
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …

With the increase in UAV scale and mission diversity, trajectory planning systems faces
more and more complex constraints, which are often conflicting and strongly coupled …

Unmanned aerial vehicles (UAVs) have been regarded as an efficient approach for
collecting data in wireless sensor networks (WSNs), benefited from their mobility and …

This paper focuses on leveraging a mobile edge computing (MEC) server at an access point
(AP) to address the delay and reliability sensitivity requirement of multi-user machine-type …

In recent years, with the acceleration process of smart cities, the Artificial Intelligence of
Things (AIoT) has become a novel approach for emergency rescue. However, due to small …

This paper proposes an age of information (AoI)-inspired secure transmissions strategy for
secure transmission from the maritime wireless sensor network to the onshore base station …

UAVs are emerging as a critical asset in the field of data collection from extensive wireless
sensor networks (WSNs) on a large scale. UAVs can be used to deploy energy‐efficient …

In this paper, we propose an energy efficiency (EE) optimization scheme for data collection
in high altitude platform (HAP)-assisted unmanned aerial vehicle (UAV) network. The HAP …

In this study, we investigate minimization of energy consumption in multi-UAV assisted
networks. We formulate an energy minimization optimization problem with UAV trajectory …

In today's world, staying connected is more important than ever, but achieving reliable
wireless communication everywhere can be a challenge. This dissertation introduces a …