Computational Intelligence Algorithms for UAV Swarm Networking and Collaboration: A Comprehensive Survey and Future Directions
P Cao, L Lei, S Cai, G Shen, X Liu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarm networking and collaboration have significant
prospects in both civilian and military applications, due to its remarkable properties in …
prospects in both civilian and military applications, due to its remarkable properties in …
Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer
Unmanned aerial vehicle (UAV) crowdsensing (UCS) is an emerging data collection
paradigm to provide reliable and high quality urban sensing services, with age-of …
paradigm to provide reliable and high quality urban sensing services, with age-of …
Sum Rate Maximization of Ad-Hoc Network in Adversarial Communication Environments: A Game-Theoretic Approach
Recently, the hierarchical coalition-based Ad-hoc network (HCAN) has been adopted to
establish link connection in adversarial environments. In this paper, a game-theoretic-based …
establish link connection in adversarial environments. In this paper, a game-theoretic-based …
QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning
Metaverse is expected to provide mobile users with emerging applications both in regular
situation like intelligent transportation services and in emergencies like wireless search and …
situation like intelligent transportation services and in emergencies like wireless search and …
A potential game approach to multi-UAV accurate coverage based on deterministic radio wave propagation model in urban area
X Gong, T Su, W Zhao, K Chi, Y Yang, C Yao - IEEE Access, 2023 - ieeexplore.ieee.org
Existing methods based on statistical models ignore the detail effect of the real environment
on path loss, leading to some discrepancies with the actual results in real urban …
on path loss, leading to some discrepancies with the actual results in real urban …
USV Fleet-Assisted Collaborative Data Backup in Marine Internet of Things
H Zeng, Z Su, Q Xu, D Fang - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, unmanned surface vehicles
(USVs) in marine Internet of Things (MIoTs) have become an important paradigm for marine …
(USVs) in marine Internet of Things (MIoTs) have become an important paradigm for marine …
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach
In this paper, an energy scheduling problem is formulated for the prosumer-based urban
area, where prosumers are regarded as the drone charging stations for urban air mobility …
area, where prosumers are regarded as the drone charging stations for urban air mobility …
Digital Twin-Enabled Task-Driven UAV Communications Under Uncertainty
Efficient task information interaction is the key to unmanned aerial vehicle (UAV) swarm
collaboration. However, the driving force of both the spatial-temporal correlation and …
collaboration. However, the driving force of both the spatial-temporal correlation and …
Formation-Aware UAV Network Self-Organization With Game-Theoretic Distributed Topology Control
One crucial advantage of UAV nodes is their flexible mobility and relocation capabilities,
which are essential for adapting the topology of a UAV network in response to link …
which are essential for adapting the topology of a UAV network in response to link …
Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing
Multi-access edge computing (MEC) is emerging as a promising paradigm to provide
flexible computing services close to user devices (UDs). However, meeting the computation …
flexible computing services close to user devices (UDs). However, meeting the computation …