Learning-Based Sparse Data Reconstruction for Compressed Data Aggregation in IoT Networks

Author:

Zhang Mingqiang,Zhang HaixiaORCID,Yuan Dongfeng,Zhang Minggao

Funder

Project of International Cooperation and Exchanges NSFC

Key Research and Development (Major Scientific and Technological Innovation) Project of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient learning-driven data transmission algorithm for cloud-to-thing continuum;Journal of King Saud University - Computer and Information Sciences;2023-12

2. Sparsity Prediction-based Adaptive Deep Compressed Sensing for MEC-enabled IoT Systems;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10

3. OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework;2023 IEEE 43rd International Conference on Distributed Computing Systems Workshops (ICDCSW);2023-07-18

4. Communication-Efficient Quantized Deep Compressed Sensing for Edge-Cloud Collaborative Industrial IoT Networks;IEEE Transactions on Industrial Informatics;2023-05

5. A Brief Survey on Data Aggregation and Data Compression Models using Blockchain Model in Wireless Sensor Network;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA);2023-03-14

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