Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
[HTML][HTML] Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey
Unmanned aerial vehicles (UAVs) have significant prospects in a plethora of public and civic
spheres. Recently, UAVs have focused primarily on applications where human presence is …
spheres. Recently, UAVs have focused primarily on applications where human presence is …
UAV trajectory planning in wireless sensor networks for energy consumption minimization by deep reinforcement learning
Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a …
Softwarization of UAV networks: A survey of applications and future trends
OS Oubbati, M Atiquzzaman, TA Ahanger… - IEEE Access, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have become increasingly important in assisting 5G and
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …
beyond 5G (B5G) mobile networks. Indeed, UAVs have all the potentials to both satisfy the …
Resource optimization for delay-tolerant data in blockchain-enabled IoT with edge computing: A deep reinforcement learning approach
Recently, the development of the Internet of Things (IoT) provides plenty of opportunities and
challenges in various fields. As an essential part of IoT, machine-to-machine (M2M) …
challenges in various fields. As an essential part of IoT, machine-to-machine (M2M) …
[HTML][HTML] Bio-inspired optimization-based path planning algorithms in unmanned aerial vehicles: A survey
Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …
Metaverse for wireless systems: Architecture, advances, standardization, and open challenges
The growing landscape of emerging wireless applications is a key driver towards the
development of novel wireless system designs. Such a design can be based on a metaverse …
development of novel wireless system designs. Such a design can be based on a metaverse …
AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …
for emerging applications owing to its huge potential in providing low-latency and ultra …
Offline and online UAV-enabled data collection in time-constrained IoT networks
O Ghdiri, W Jaafar, S Alfattani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, unmanned aerial vehicle (UAV) technology is endorsed to enable applications in
domains such as Internet of Things (IoT), wireless sensor networks, and cellular networks …
domains such as Internet of Things (IoT), wireless sensor networks, and cellular networks …
A survey on green unmanned aerial vehicles‐based fog computing: Challenges and future perspective
In the area of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT), enormous
technological advancement has transformed the way we choose to live. UAVs link …
technological advancement has transformed the way we choose to live. UAVs link …