[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …
performance has become a critical issue. Many services provided by IoT devices (eg …
Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles
The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …
component of beyond-fifth-generation and sixth-generation mobile networks. However, the …
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 …
A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …
things devices have been deployed globally. As a result, computationally intensive tasks are …
A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading
Utilizing Unmanned Aerial Vehicles (UAVs) as flying edge nodes to support task offloading
from terminal devices has recently attracted significant research attention. However, the …
from terminal devices has recently attracted significant research attention. However, the …
Optimizing risk-aware task migration algorithm among multiplex UAV groups through hybrid attention multi-agent reinforcement learning
Y Jiang, K Di, R Qian, X Wu, F Chen… - Tsinghua Science …, 2024 - ieeexplore.ieee.org
Recently, with the increasing complexity of multiplex Unmanned Aerial Vehicles (multi-
UAVs) collaboration in dynamic task environments, multi-UAVs systems have shown new …
UAVs) collaboration in dynamic task environments, multi-UAVs systems have shown new …
Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
The recent advancements in small-size inference models facilitated AI deployment on the
edge. However, the limited resource nature of edge devices poses new challenges …
edge. However, the limited resource nature of edge devices poses new challenges …
Reliable Computation Offloading of DAG Applications in Internet of Vehicles Based on Deep Reinforcement Learning
S Su, P Yuan, Y Dai - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
To solve the partial offloading problem of Directed Acyclic Graph (DAG) applications in the
Internet of Vehicles (IoV) under edge computing environment, this paper proposes a partial …
Internet of Vehicles (IoV) under edge computing environment, this paper proposes a partial …
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
M Janßen, T Pfandzelter, M Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements
in sensor capabilities and computational abilities, allowing for efficient autonomous …
in sensor capabilities and computational abilities, allowing for efficient autonomous …