State-of-the-art and future research challenges in uav swarms
Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
Federated learning for 6g: Paradigms, taxonomy, recent advances and insights
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
Federated learning for green and sustainable 6G IIoT applications
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
architecture of 6G will be the convergence of space, air, ground, and undersea networks …
Task-driven cooperative internet of the robotic things crowdsourcing: from the perspective of hierarchical game-theoretic
H Xiao, Z Huang, Z Xu, S Yang, W Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The rapid advancement in robotics technology has catalyzed the emergence of Internet of
the Robotic Things crowdsourcing, a novel paradigm in the digital economy era. However …
the Robotic Things crowdsourcing, a novel paradigm in the digital economy era. However …
Stigmergy and Hierarchical Learning for Routing Optimization in Multi-domain Collaborative Satellite Networks
The integration of Software-Defined Networking (SDN) and Artificial Intelligence (AI)
presents promising opportunities for managing and optimizing LEO satellite network routing …
presents promising opportunities for managing and optimizing LEO satellite network routing …
Incentive and Dynamic Client Selection for Federated Unlearning
With the development of AI-Generated Content (AIGC), data is becoming increasingly
important, while the right of data to be forgotten, which is defined in the General Data …
important, while the right of data to be forgotten, which is defined in the General Data …
Incentive Mechanism Against Bounded Rationality for Federated Learning-Enabled Internet of UAVs: A Prospect Theory-Based Approach
F Fu, Y Wang, S Li, LT Yang, R Zhao… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with high definition (HD) cameras, intelligent
sensors, computing, and communication modules can be deployed to execute …
sensors, computing, and communication modules can be deployed to execute …
A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework
The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction,
involves high-performance models. In this dynamic environment, users' tasks frequently shift …
involves high-performance models. In this dynamic environment, users' tasks frequently shift …
Hunting Task Allocation for Heterogeneous Multi-AUV Formation Target Hunting in IoUT: A Game Theoretic Approach
M Zhang, H Chen, W Cai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
As one of the important tools for exploring the ocean, multiple autonomous underwater
vehicles (multi-AUVs) system can complete complex tasks in complex Internet of Underwater …
vehicles (multi-AUVs) system can complete complex tasks in complex Internet of Underwater …
A novel multi agents-based clustering algorithm for VANETs in 5G networks
In recent, the rapid development of mobile communication systems has been forming
advanced communications architectures among vehicles, so-called Vehicle Ad hoc …
advanced communications architectures among vehicles, so-called Vehicle Ad hoc …