Unmanned aerial vehicles (UAVs) have emerged as a promising solution for enhancing
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …

For a wide range of smart agriculture use cases, the prospects of utilizing the Internet of
Things (IoT) are immense. Many IoT devices can be deployed for precision farming, soil …

This study aims to solve the issue of the safe navigation of autonomous underwater vehicles
(AUVs) in an unknown underwater environment. AUV will encounter canyons, rocks, reefs …

In the midst of rising global population and environmental challenges, smart agriculture
emerges as a vital solution by integrating advanced technologies to optimize agricultural …

Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when
performing search tasks, this paper proposes a Double DQN-state splitting Q network …

Path planning is one of the key parts of unmanned aerial vehicle (UAV) fast autonomous
flight in cluttered environments. However, it remains a challenge to efficiently generate a …

In this article, a disaster response network (DRN) aided by an unmanned aerial vehicle
(UAV) is studied. We consider a number of uplink cellular users as primary users (PUs) …

The use of Unmanned Aerial Vehicles (UAVs) is a promising solution for collecting data from
wireless Internet of Things (IoT) devices and offloading to mobile edge computing (MEC) …

Reinforcement learning (RL) has been shown to be effective in path planning. However, it
usually requires exploring a sufficient number of state–action pairs, some of which may be …

IoT devices are widely adopted in various scenarios to realize real-time data collection.
However, it is challenging to efficiently collect the sensing data when IoT devices are …