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
The Policy Distortion Factor Phi: Decomposing Routing Efficiency in Delay-Tolerant Networks

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Resource constrained learning over wireless networks

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Deep Q-Learning-Based Intelligent Scheduling for ETL Optimization in Heterogeneous Data Environments

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No-Meta Intelligence Under Ontology Drift: Information-Theoretic Limits and Operational Laws for Persistent Semantics

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The Thermodynamic Right to Refusal: A Synkyrian Theory of Holding, Information Load, and Sustainable Processing

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Paradigm Shift Toward Distributed Learning in IoT Intelligence: A Comprehensive Survey of Opportunities and Challenges

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Real-Time Resilient Traffic Prediction for LEO Access Networks via Adjacent Satellite Collaboration

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Fault Tolerance in Fog Computing with Architectures Scheduling and Optimization for IoT

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Federated Learning With Energy Harvesting Devices: An MDP Framework

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Federated self-Expanding neural network learning framework for heterogeneous devices

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近5年高被引文献
A survey of human-in-the-loop for machine learning

article Full Text OpenAlex 624 FWCI83.5153

Edge AI: A survey

article Full Text OpenAlex 385 FWCI78.0047

Joint Task Offloading and Resource Allocation for Energy-Constrained Mobile Edge Computing

article Full Text OpenAlex 354 FWCI49.6413

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

review Full Text OpenAlex 293 FWCI37.9874

Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things

article Full Text OpenAlex 280 FWCI38.8824

Joint Multi-Task Offloading and Resource Allocation for Mobile Edge Computing Systems in Satellite IoT

article Full Text OpenAlex 274 FWCI55.7395

Computation offloading in mobile edge computing networks: A survey

article Full Text OpenAlex 258 FWCI35.1597

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

review Full Text OpenAlex 248 FWCI32.7232

AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives

article Full Text OpenAlex 219 FWCI44.3198

Pushing AI to wireless network edge: an overview on integrated sensing, communication, and computation towards 6G

article Full Text OpenAlex 202 FWCI26.6658