专题:Distributed Sensor Networks and Detection Algorithms

This cluster of papers focuses on decentralized inference and decision-making in wireless sensor networks, covering topics such as distributed detection, decentralized estimation, quantization, channel-aware fusion, energy efficiency, handling Byzantine attacks, optimal power allocation, cooperative routing, and sparsity-aware sensor selection.
最新文献
近5年高被引文献
Robust Aggregation for Federated Learning

article Full Text OpenAlex 870 FWCI48.6907

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach

book-chapter Full Text OpenAlex 727 FWCI44.5797

Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

article Full Text OpenAlex 667 FWCI72.0958

On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels

article Full Text OpenAlex 380 FWCI46.1643

Multichannel adaptive signal detection: basic theory and literature review

article Full Text OpenAlex 286 FWCI24.587

Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI

article Full Text OpenAlex 239 FWCI26.5499

Collaborative Sensing in Internet of Things: A Comprehensive Survey

article Full Text OpenAlex 225 FWCI21.2964

Task-Oriented Communication for Multidevice Cooperative Edge Inference

article Full Text OpenAlex 209 FWCI18.6481

Radar sensor network resource allocation for fused target tracking: A brief review

article Full Text OpenAlex 194 FWCI13.415

Federated Learning: A signal processing perspective

article Full Text OpenAlex 178 FWCI12.6991