Sustainable task offloading in UAV networks via multi-agent reinforcement learning
The recent growth of IoT devices, along with edge computing, has revealed many
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
A self-learning strategy for task offloading in UAV networks
The edge computing paradigm has opened new opportunities for IoT devices, which can be
used in novel applications involving heavy processing of data. Typical and common …
used in novel applications involving heavy processing of data. Typical and common …
Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach
AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
Deep reinforcement learning for multi-hop offloading in UAV-assisted edge computing
In this article, we propose a unmanned aerial vehicle (UAV)-assisted multi-hop edge
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
computing (UAV-assisted MEC) system in which a UE can offload its task to multiple UAVs in …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Learning-based computation offloading approaches in UAVs-assisted edge computing
Technological evolutions in unmanned aerial vehicle (UAV) industry have granted UAVs
more computing and storage resources, leading to the vision of UAVs-assisted edge …
more computing and storage resources, leading to the vision of UAVs-assisted edge …
Multi-agent DRL for task offloading and resource allocation in multi-UAV enabled IoT edge network
The Internet of Things (IoT) edge network has connected lots of heterogeneous smart
devices, thanks to unmanned aerial vehicles (UAVs) and their groundbreaking emerging …
devices, thanks to unmanned aerial vehicles (UAVs) and their groundbreaking emerging …
Ready player one: UAV-clustering-based multi-task offloading for vehicular VR/AR gaming
With rapid development of unmanned aerial vehicle (UAV) technology, application of UAVs
for task offloading has received increasing interest in academia. However, real-time …
for task offloading has received increasing interest in academia. However, real-time …
Deep reinforcement learning based energy efficient multi-UAV data collection for IoT networks
SS Khodaparast, X Lu, P Wang… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are regarded as an emerging technology, which can be
effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks …
effectively utilized to perform the data collection tasks in the Internet of Things (IoT) networks …
A DRL Strategy for Optimal Resource Allocation Along With 3D Trajectory Dynamics in UAV-MEC Network
Advances in Unmanned Air Vehicle (UAV) technology have paved a way for numerous
configurations and applications in communication systems. However, UAV dynamics play an …
configurations and applications in communication systems. However, UAV dynamics play an …