The use of unmanned aerial vehicles (UAVs) for data gathering in wireless sensor networks
(WSNs) and Internet of Things (IoT) applications has significantly gained interest in recent …

Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With
the increasing demand of society and the continuous progress of technologies, UAV …

Owing to constant progress of wireless communications, the Unmanned Aerial Vehicles
(UAVs) routing networks (UAVs-RN) under mobile Internet of Things (MIoT) have been …

The recent technological advancements such as IoT-enabled sensor nodes, Global
Positioning System, Wi-Fi transceivers, and lightweight lithium-ion batteries enable the use …

As the technology of unmanned aerial vehicles (UAVs) advances, these vehicles are
increasingly being used in various industries. However, the navigation of UAVs often faces …

Deep reinforcement learning (DRL) has emerged as a promising technique for optimizing
the deployment of unmanned aerial vehicles (UAVs) for data collection in wireless sensor …

UAV-enabled data collection is considered a promising paradigm of emergency data
transmission for IoT applications when the communication infrastructure is damaged. UAV …

Percutaneous Nephrolithotomy (PCNL) is the leading intervention for removing large or
irregularly shaped kidney stones. It involves gaining access to the kidney through a small …

Abstract In the Autonomous Underwater Vehicle (AUV) based Underwater Acoustic Sensor
Network (UASN), efficient data collection with minimum delay and high throughput is a …

Unmanned aerial vehicles (UAVs) are rapidly developing in major fields but also exposed it
to security vulnerabilities. UAVs operate in high airborne network where it encounters many …