Wireless Sensor Networks are considered to be among the most rapidly evolving
technological domains thanks to the numerous benefits that their usage provides. As a …

Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …

Recently, deep reinforcement learning (DRL) frameworks have shown potential for solving
NP-hard routing problems such as the traveling salesman problem (TSP) without problem …

This paper studies an unmanned aerial vehicle (UAV)-enabled multicasting system, where a
UAV is dispatched to disseminate a common file to a set of ground terminals (GTs). We aim …

This article studies the unmanned aerial vehicle (UAV) trajectory planning problem in a UAV-
enabled environmental monitoring system and considers a typical data collection scenario …

Maintaining freshness of data collection in Internet-of-Things (IoT) networks has attracted
increasing attention. By taking into account age-of-information (AoI), we investigate the …

The application of wireless charging technology in traditional battery-powered wireless
sensor networks (WSNs) grows rapidly recently. Although previous studies indicate that the …

In the past two decades, a lot of research activities have been dedicated to the fields of
mobile ad hoc network (MANET) and wireless sensor networks (WSN). More recently, the …

In this paper, we propose a reinforcement learning approach of collision avoidance and
investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication …

Wireless sensor networks (WSNs) provide a virtual layer where the information about the
physical world can be accessed by computational systems. Mobile robots have long been …