专题:Age of Information Optimization

This cluster of papers focuses on optimizing the freshness of information in communication networks, particularly in the context of real-time status updates, wireless networks, energy harvesting, and scheduling policies. The research explores age of information metrics, multi-hop networks, IoT monitoring systems, and queue management to minimize the age of information and improve network performance.
最新文献
Trajectory Prediction and Decision Optimization for UAV-Assisted VEC Networks: An Integrated LSTM-TD3 Framework

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Category Attribute-Oriented Heterogeneous Resource Allocation and Task Offloading for SAGIN Edge Computing

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Real-Time Service Migration in Edge Networks: A Survey

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GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing

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Optimizing Node‐Level Data Access Time Using Cluster‐Based Deep Reinforcement Learning Models

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SC3-MDRA: A New Approach to Coordinating Bi-Level Age of Information in AAV-Enabled 6G Integrated Networks

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Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method

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Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed Learning

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Packet Error-Aware Threshold ALOHA Protocol in Wireless Networks

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Non-Orthogonal Multiple-Access Strategies for Direct-to-Satellite IoT Networks

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近5年高被引文献
Age of Information: An Introduction and Survey

article Full Text OpenAlex 717 FWCI88.936

A Survey on Federated Learning for Resource-Constrained IoT Devices

article Full Text OpenAlex 505 FWCI48.166

A survey of human-in-the-loop for machine learning

article Full Text OpenAlex 452 FWCI67.797

Resource Scheduling in Edge Computing: A Survey

article Full Text OpenAlex 350 FWCI40.041

Green Algorithms: Quantifying the Carbon Footprint of Computation

article Full Text OpenAlex 314 FWCI20.508

A Survey on Technologies, Standards and Open Challenges in Satellite IoT

article Full Text OpenAlex 265 FWCI31.129

Lyapunov-Guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

article Full Text OpenAlex 227 FWCI26.562

Online Distributed Offloading and Computing Resource Management With Energy Harvesting for Heterogeneous MEC-Enabled IoT

article Full Text OpenAlex 226 FWCI28.016

Computation Offloading in LEO Satellite Networks With Hybrid Cloud and Edge Computing

article Full Text OpenAlex 226 FWCI26.626

Semantics-Empowered Communication for Networked Intelligent Systems

article Full Text OpenAlex 217 FWCI27.487