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 …

The occurrence of disasters has the potential to impede the progress of sustainable urban
development. For instance, it has the potential to result in significant human casualties and …

Sustainable and low-latency data transmission is a major challenge in sparsely deployed
sensor network scenarios. To overcome this challenge, we investigate unmanned aerial …

Multiple unmanned aerial vehicles (UAVs) are organized into clusters in a flying sensor
network (FSNet) to achieve scalability and prolong the network lifetime. There are a variety …

Real-time status updates require more frequent updates with fresh information. This study
investigates the applications and research potential of unmanned aerial vehicles (UAV) for …

The progress and evolution of technology have been rapidly transforming various aspects of
our society and daily lives, including colleges and campuses into smarter environments …

In this current era of communications and networking, The Internet of things plays the main
role in the making of smart communication and networking. In this article, we have focused …

Abstract Deep Reinforcement Learning (DRL) has emerged as a promising technique for
optimizing the deployment of Unmanned Aerial Vehicles (UAVs) for data collection in …

A quadrotor drone is an unmanned aerial vehicle used for transportation. Nowadays, drones
have become increasingly popular in various fields. However, incorporating them into …

The mobility of unmanned aerial vehicles (UA Vs) has attracted widespread attention in
mobile edge computing (MEC). Due to limitations in UAVs communication capacity and …