A Systematic Map** 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 …
Trajectory-Aware Offloading Decision in UAV-Aided Edge Computing: A Comprehensive Survey
Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has
emerged as a promising paradigm for providing computational support for Internet of Things …
emerged as a promising paradigm for providing computational support for Internet of Things …
A distributed framework for multiple UAV cooperative target search under dynamic environment
The rapid advancement of unmanned aerial vehicles (UAVs) has led to widespread
application in cooperative target search. As task scenarios become more complex, the …
application in cooperative target search. As task scenarios become more complex, the …
PF-MAAC: A learning-based method for probabilistic optimization in time-constrained non-adversarial moving target search
This paper investigates the multi-robot efficient search (MuRES) problem with a focus on
maximizing the probability of capturing a moving target within a predefined time constraint …
maximizing the probability of capturing a moving target within a predefined time constraint …
Optimizing multi-agent search with non-uniform sensor effectiveness in distributed quadcopter systems
This article explores the vital role of distributed multi-robot systems (DMRS) in applications
such as search and rescue, surveillance, and military operations. In particular, we focus on …
such as search and rescue, surveillance, and military operations. In particular, we focus on …
Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach
J Wu, J Luo, C Jiang, L Gao - ICC 2024-IEEE International …, 2024 - ieeexplore.ieee.org
Multi-UAV Cooperative Search (MCS) can significantly enhance the efficiency and
effectiveness of search by enabling multiple unmanned aerial vehicles (UAVs) to collaborate …
effectiveness of search by enabling multiple unmanned aerial vehicles (UAVs) to collaborate …
Multi-agent target search strategy optimization: Hierarchical reinforcement learning with multi-criteria negative feedback
Recently, using unmanned platforms to perform target search tasks has received extensive
attention and research. The complexity of the search scenario and the unpredictability of the …
attention and research. The complexity of the search scenario and the unpredictability of the …
Task Offloading and Trajectory Optimization in UAV Networks: A Deep Reinforcement Learning Method Based on SAC and A-Star.
J Liu, P **e, J Liu, X Tu - CMES-Computer Modeling in …, 2024 - search.ebscohost.com
In mobile edge computing, unmanned aerial vehicles (UAVs) equipped with computing
servers have emerged as a promising solution due to their exceptional attributes of high …
servers have emerged as a promising solution due to their exceptional attributes of high …
A Multi-Agent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multi-layered Aerial Computing Networks
J Wu, J Luo, C Jiang, L Gao - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Multi-UAV Cooperative Search (MCS) can significantly enhance the efficiency and
effectiveness of search by enabling multiple unmanned aerial vehicles (UAVs) to collaborate …
effectiveness of search by enabling multiple unmanned aerial vehicles (UAVs) to collaborate …
Online convex optimization for resource allocation scheme in edge computing-enabled networks
Y Cheng, J Li, C Liang, R Chai… - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
The dynamic edge computing-enabled networks contain various resources, and network
parameters and system models are subject to uncertainty. Despite this, there is still a lack of …
parameters and system models are subject to uncertainty. Despite this, there is still a lack of …